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Modified 2018-06-30 by Andrea Censi

Brian Paden and Emilio Frazzoli. A Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning. 2016.    http  Morgan R. Frank, Nick Obradovich, Lijun Sun, Wei Lee Woon, Brad L. LeVeck, and Iyad Rahwan. Detecting reciprocity at a global scale. Science Advances, 4(1):eaao5348, 2018.    DOI  http  Rico Jonschkowski and Oliver Brock. Learning state representations with robotic priors. Autonomous Robots, 39(3):407–428, 2015.    DOI  http 
Keywords: Prior knowledge, Reinforcement learning, Representation learning, Robot learning
Jonathan T. Barron and Jitendra Malik. Shape, illumination, and reflectance from shading. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(8):1670–1687, 2015.    DOI 
Keywords: Color constancy, Computer vision, Intrinsic images, Machine learning, Shape estimation, Shape from shading
Stefano Soatto. Actionable information in vision. Studies in Computational Intelligence, 411(Iccv):17–48, 2013.    DOI  Alessandro Achille and Stefano Soatto. Information Dropout: Learning Optimal Representations Through Noisy Computation. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–11, 2018.    DOI  http 
Keywords: Bayes methods, Information theory, Machine learning, Neural networks, Noise measurement, Representation learning, Training, deep learning, information bottleneck, invariants, minimality, nuisances
Alessandro Achille and Stefano Soatto. Emergence of Invariance and Disentangling in Deep Representations. 2017.    http  Stefano Soatto and Alessandro Chiuso. Visual Representations: Defining Properties and Deep Approximations. pages 1–20, 2014.    http  L Y Pratt. Discriminability-Based Transfer between Neural Networks. Advances in neural information processing systems, pages 204–211, 1993.    DOI  .pdf  Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, and Christopher Kanan. Measuring Catastrophic Forgetting in Neural Networks. 2017.    DOI  http  Chuong B Do and Andrew Y Ng. Transfer learning for text classification. Advances in Neural Information Processing Systems, 18(3):299–306, 2006.    DOI  Evangelos Stromatias, Miguel Soto, Teresa Serrano-Gotarredona, and Bernabé Linares-Barranco. An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data. Frontiers in Neuroscience, 11(JUN), 6 2017.    DOI  http 
Keywords: Convolutional neural networks, DVS sensors, Event driven processing, Fully connected neural networks, Neuromorphic, Spiking neural networks, Supervised learning
Tom Farer. Introduction. Global Governance, 17(3):281–284, 2011.    DOI  Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, and Christopher Kanan. Measuring Catastrophic Forgetting in Neural Networks. 12 2017.    DOI  http  Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng Yang Fu, and Alexander C. Berg. SSD: Single shot multibox detector. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9905 LNCS:21–37, 12 2016.    DOI  http 
Keywords: Convolutional neural network, Real-time object detection
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, and David Meger. Deep Reinforcement Learning that Matters. 2017.    http  Andrea Censi, Erich Mueller, Emilio Frazzoli, and Stefano Soatto. A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors. In Proceedings - IEEE International Conference on Robotics and Automation, volume 2015-June, pages 3319–3326, 5 2015.    DOI 
Keywords: Bandwidth, CMOS sensor, Image resolution, Noise, Noise measurement, Robot sensing systems, Standards, control signal task, image sensors, neuromorphic sensors, power-performance curve approach, robot, robots, sensor families, switch sensors, vision sensors
Yann Lecun, Yoshua Bengio, and Geoffrey Hinton. Deep learning. Nature, 521(7553):436–444, 2015.    DOI  Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision, 115(3):211–252, 2015.    DOI  http 
Keywords: Benchmark, Dataset, Large-scale, Object detection, Object recognition
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng Yang Fu, and Alexander C. Berg. SSD: Single shot multibox detector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 9905 LNCS, pages 21–37, 12 2016.    DOI  http 
Keywords: Convolutional neural network, Real-time object detection
Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, and Christopher Kanan. Measuring Catastrophic Forgetting in Neural Networks. 2017.    DOI  http  Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, and Christopher Kanan. Measuring Catastrophic Forgetting in Neural Networks. Proceedings of the National Academy of Sciences of the United States of America, 114(13):3521–3526, 3 2017.    DOI  http 
Keywords: artificial intelligence, continual learning, deep learning, stability plasticity, synaptic consolidation
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun. Vision meets robotics: The KITTI dataset. International Journal of Robotics Research, 32(11):1231–1237, 2013.    DOI 
Keywords: Dataset, GPS, KITTI, SLAM, autonomous driving, benchmarks, cameras, computer vision, field robotics, laser, mobile robotics, object detection, optical flow, stereo, tracking
Patrick Lichtsteiner, Christoph Posch, and Tobi Delbruck. A 128 × 128 120 dB 15 μs latency asynchronous temporal contrast vision sensor. IEEE Journal of Solid-State Circuits, 43(2):566–576, 2008.    DOI 
Keywords: Address-event representation (AER), Asynchronous vision sensor, High-speed imaging, Image sensors, Machine vision, Neural network hardware, Neuromorphic circuit, Robot vision systems, Visual system, Wide dynamic range imaging
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, and Kevin Murphy. Speed/accuracy trade-offs for modern convolutional object detectors. 11 2016.    DOI  http  D. Impiombato, S. Giarrusso, T. Mineo, O. Catalano, C. Gargano, G. La Rosa, F. Russo, G. Sottile, S. Billotta, G. Bonanno, S. Garozzo, A. Grillo, D. Marano, and G. Romeo. Characterization and performance of the ASIC (CITIROC) front-end of the ASTRI camera. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 794:185–192, 2015.    DOI 
Keywords: ASIC for SiPM, ASTRI, CITIROC, Front-end
D. Impiombato, S. Giarrusso, T. Mineo, O. Catalano, C. Gargano, G. La Rosa, F. Russo, G. Sottile, S. Billotta, G. Bonanno, S. Garozzo, A. Grillo, D. Marano, and G. Romeo. Characterization and performance of the ASIC (CITIROC) front-end of the ASTRI camera. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 794:185–192, 11 2015.    DOI  http 
Keywords: ASIC for SiPM, ASTRI, CITIROC, Front-end
Dana Lahat, Tulay Adali, and Christian Jutten. Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects. Proceedings of the IEEE, 103(9):1449–1477, 2015.    DOI 
Keywords: Blind source separation, data fusion, latent variables, multimodality, multiset data analysis, overview, tensor decompositions
Junlin Hu, Jiwen Lu, Yap Peng Tan, and Jie Zhou. Deep Transfer Metric Learning. IEEE Transactions on Image Processing, 25(12):5576–5588, 2016.    DOI 
Keywords: Deep metric learning, deep transfer metric learning, face verification, person reidentification, transfer learning
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, and Jiebo Luo. Deep Multimodal Representation Learning from Temporal Data. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.    DOI  http 
Keywords: Correlation, Data models, Decoding, Fuses, Machine lea
Dennis S Bernstein. Becoming a Researcher by.    Patricia Casey. Getting your paper published. International Psychiatry, 8(1):19–21, 2011.    Vanora Hundley and Edwin van Teijlingen. Getting started in research., 2002.    DOI  Dennis S Bernstein and Ann Arbor. Precision Writing.    Dennis S Bernstein. Professor Bernstein ' s Top Ten Tips for Giving a Presentation by, 1997.    Dennis S Bernstein and Ann Arbor. On Review Practice by Conflicts of Interest.    Dennis S Bernstein. Solving Research Problems. pages 1–12.    Dennis S Bernstein. Professor Bernstein ' s Top 13 Writing Tips by. pages 6–7, 1997.    Justin Zobel. Writing for Computer Science. In Writing for Computer Science, page 270. 2004.    DOI  http  Sinno Jialin Pan and Qiang Yang. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, 10 2010.    DOI  http 
Keywords: Transfer learning, data mining., machine learning, survey
Paul Furgale, Joern Rehder, and Roland Siegwart. Unified temporal and spatial calibration for multi-sensor systems. In IEEE International Conference on Intelligent Robots and Systems, pages 1280–1286. IEEE, 2013.    DOI  Paul Furgale, Joern Rehder, and Roland Siegwart. Unified temporal and spatial calibration for multi-sensor systems. In IEEE International Conference on Intelligent Robots and Systems, pages 1280–1286. IEEE, 2013.    DOI  Andrea Censi, Erich Mueller, Emilio Frazzoli, and Stefano Soatto. A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors. In Proceedings - IEEE International Conference on Robotics and Automation, volume 2015-June, pages 3319–3326, 5 2015.    DOI 
Keywords: CMOS sensor, control signal ta, image sensors, robots
H B Mitchell. Introduction. In Multi-Sensor Data Fusion, pages 3–13. Springer, 2007.    Cesar Cadena, Anthony Dick, and Ian D Reid. Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding. In Rss, number June, 2016.    DOI  Vasana Tolieng, Budsabathip Prasirtsak, Jaruwan Sitdhipol, Nuttha Thongchul, and Somboon Tanasupawat. Identification and lactic acid production of bacteria isolated from soils and tree barks. Malaysian Journal of Microbiology, 13(2):100–108, 5 2017.    DOI  http 
Keywords: Bacillus, Enterococcus, Lactic acid, Lactococcus, Sporolactobacillus
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. International Conference on Machine Learning (ICML ), 2017.    http  Ming-Yu Liu and Oncel Tuzel. Coupled Generative Adversarial Networks. In D D Lee, M Sugiyama, U V Luxburg, I Guyon, and R Garnett, editors, Advances in Neural Information Processing Systems {(NIPS)}, pages 469–477. Curran Associates, Inc., 2016.    DOI  http  Oussama Khatib. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. International Journal of Robotics Research, 5(1):90–98, 1986.    DOI  http  Samantha Stoneman and Roberto Lampariello. Embedding nonlinear optimization in RRT??? for optimal kinodynamic planning. In Proceedings of the IEEE Conference on Decision and Control, volume 2015-Febru, pages 3737–3744, 2014.    DOI  Brian Paden and Emilio Frazzoli. A Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning. 2016.    http  Jur Van Den Berg and Mark Overmars. Kinodynamic motion planning on roadmaps in dynamic environments. In IEEE International Conference on Intelligent Robots and Systems, pages 4253–4258, 2007.    DOI  Raul Mur-Artal, J. M.M. Montiel, and Juan D. Tardos. ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE Transactions on Robotics, 31(5):1147–1163, 2015.    DOI  http 
Keywords: Lifelong mapping, Simultaneous localization and mapping (SLAM), localization, monocular vision, recognition
Kyle Ballantyne, Rick Zhang, Daniel Morton, Marco Pavone, Kevin Spieser, Kyle Treleaven, and Emilio Frazzoli. Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems : A Case Study in Singapore. The MIT Faculty, pages 0–16, 2014.    http  Jérôme Barraquand, Lydia Kavraki, Jean-Claude Latombe, Rajeev Motwani, Tsai-Yen Li, and Prabhakar Raghavan. A Random Sampling Scheme for Path Planning. The International Journal of Robotics Research, 16(6):759–774, 1997.    DOI  http  Sertac Karaman, Matthew R. Walter, Alejandro Perez, Emilio Frazzoli, and Seth Teller. Anytime motion planning using the RRT. In Proceedings - IEEE International Conference on Robotics and Automation, pages 1478–1483, 2011.    DOI  Matt Zucker, James Kuffner, and Michael Branicky. Multipartite RRTs for rapid replanning in dynamic environments. In Proceedings - IEEE International Conference on Robotics and Automation, pages 1603–1609, 2007.    DOI  S. M. LaValle and J. J. Kuffner. Randomized kinodynamic planning. International Journal of Robotics Research, 20(5):378–400, 2001.    DOI  http 
Keywords: Algorithms, Collision avoidance, Motion planning, Non-holonomic planning, Trajectory planning
Andreas Ritter and Technical Report. How to Use the IDSCreport L TEX Class. Version 1.4.0, 2016.    Boris Kluge and Erwin Prassler. Recursive agent modeling with probabilistic velocity obstacles for mobile robot navigation among humans. Springer Tracts in Advanced Robotics, 35:121–134, 2007.    DOI  Efstathios Velenis, Emilio Frazzoli, and Panagiotis Tsiotras. Steady-state cornering equilibria and stabilisation for a vehicle during extreme operating conditions. International Journal of Vehicle Autonomous Systems, 8(2/3/4):217, 2010.    DOI  http 
Keywords: SMC, accelerating torque, braking torque, drift, nonlinear, nonlinear tyre characteristics, race driving, single-track vehicle models, sliding mode control, stabilisation, stabilization, steady-state cornering, suspension dynamics, technical driving, tire characteristics, tyre slip, vehicle dynamics, vehicle stability.
Dmitry Yershov, Michael Otte, and Emilio Frazzoli. Planning for Optimal Feedback Control in the Volume of Free Space. arXiv:1504.07940 cs, 2015.    http 
Keywords: Computer Science - Robotics
Alejandro Perez, Robert Platt, George Konidaris, Leslie Kaelbling, and Tomas Lozano-Perez. LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. Proceedings - IEEE International Conference on Robotics and Automation, (0):2537–2542, 2012.    DOI  Sertac Karaman and Emilio Frazzoli. Sampling-based algorithms for optimal motion planning. International Journal of Robotics Research, 30(7):846–894, 2011.    DOI  http 
Keywords: Motion planning, Optimal path planning, Random geometric graphs, Sampling-based algorithms
Maxim Likhachev, Geoff Gordon, and Sebastian Thrun. ARA•: Anytime A• with provable bounds on sub-optimality. Advances in Neural Information Processing Systems, 16:12, 2004.    DOI  http 
Keywords: algorithms, path planning, searching techniques
Rodney A. Brooks and Tomas Lozano-Perez. A Subdivision Algorithm in Configuration Space for Findpath with Rotation. IEEE Transactions on Systems, Man and Cybernetics, SMC-15(2):224–233, 1985.    DOI  Zheng Zeng, Karl Sammut, Lian Lian, Fangpo He, Andrew Lammas, and Youhong Tang. A comparison of optimization techniques for AUV path planning in environments with ocean currents. Robotics and Autonomous Systems, 82:61–72, 2016.    DOI 
Keywords: Autonomous underwater vehicle, Optimization, Path planning
Jonas Witt and Matthew Dunbabin. Go with the Flow: Optimal Path Planning in Coastal Environments. Proceedings of the Australasian Conference on Robotics & Automation (ACRA), pages 1–9, 2008.    Kostas E. Bekris and Lydia E. Kavraki. Greedy but safe replanning under kinodynamic constraints. Proceedings - IEEE International Conference on Robotics and Automation, (April):704–710, 2007.    DOI  Maxim Likhachev, Dave Ferguson, Geoff Gordon, Anthony Stentz, and Sebastian Thrun. Anytime Dynamic A *: An Anytime , Replanning Algorithm. Science, page 262–271, 2005.    DOI  http 
Keywords: Copyright 2005, American Association for Artific
Jan Hakenberg and Jonas Londschien. Owly.    http  Dmitri Dolgov, Sebastian Thrun, Michael Montemerlo, and James Diebel. Path planning for autonomous vehicles in unknown semi-structured environments. International Journal of Robotics Research, 29(5):485–501, 2010.    DOI  .pdf 
Keywords: Autonomous driving, Path planning
Brian Paden, Michal Cap, Sze Zheng Yong, Dmitry Yershov, and Emilio Frazzoli. A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles. arXiv preprint arXiv:, pages 1–27, 2016.    DOI  http 
Keywords: Overview
H. Levent Akin, Nancy M. Amato, Volkan Isler, and A. Frank Van Der Stappen. Algorithmic foundations of robotics XI: Selected Contributions of the Eleventh International Workshop on the Algorithmic Foundations of Robotics. In Springer Tracts in Advanced Robotics, volume 107, pages 263–282, 2015.    DOI  Kimiko Motonaka, Keigo Watanabe, and Shoichi Maeyama. Motion planning of a UAV using a kinodynamic motion planning method. In IECON Proceedings (Industrial Electronics Conference), pages 6383–6387, 2013.    DOI  World Health Organization. Global Status Report On Road Safety: Supporting a decade of action. World Health Organization, 2013.    David Hsu, Robert Kindel, Jean Claude Latombe, and Stephen Rock. Randomized kinodynamic motion planning with moving obstacles. International Journal of Robotics Research, 21(3):233–255, 2002.    DOI 
Keywords: Expansive space, Kinodynamic constraints, Motion planning, Moving obstacles, Probabilistic roadmaps
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Keywords: A*, Continual planning, Heuristic search, Heuristic search-based planning, Incremental search, Lifelong planning, Plan reuse, Replanning, Symbolic STRIPS-style planning
E. W. Dijkstra. A note on two problems in connexion with graphs. Numerische Mathematik, 1(1):269–271, 1959.    DOI  Jeong Hwan Jeon, Sertac Karaman, and Emilio Frazzoli. Anytime computation of time-optimal off-road vehicle maneuvers using the RRT. In Proceedings of the IEEE Conference on Decision and Control, pages 3276–3282, 2011.    DOI  Carlos E. García, David M. Prett, and Manfred Morari. Model predictive control: Theory and practice-A survey. Automatica, 25(3):335–348, 1989.    DOI 
Keywords: (constrained control), Computer control, predictive control, process control, quadratic programming
Yong K. Hwang and Narendra Ahuja. A Potential Field Approach to Path Planning. IEEE Transactions on Robotics and Automation, 8(1):23–32, 1992.    DOI  Dustin J. Webb and Jur Van Den Berg. Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics. In Proceedings - IEEE International Conference on Robotics and Automation, pages 5054–5061, 2013.    DOI  Michael Otte and Emilio Frazzoli. RRTX: Real-time motion planning/replanning for environments with unpredictable obstacles. In Springer Tracts in Advanced Robotics, volume 107, pages 461–478, 2015.    DOI 
Keywords: Asymptotically optimal, Dynamic environments, Graph consistency, Motion planning, Real-time, Replanning, Shortest-path
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Keywords: Aerospace electronics, BVP, Boundary value problems, Connectors, Optimization, Planning, Robots, SQP, Trajectory, asymptotic stability, asymptotically optimal motion planning, boundary value problem solver, boundary-value problems, holonomic robot, kinodynamic system, mobile robots, nonlinear dynamical systems, nonlinear dynamics, optimal control, path planning, quadratic programming, sequential quadratic programming, trajectory control, trajectory duration optimization
Jeong Hwan Jeon, Sertac Karaman, and Emilio Frazzoli. Optimal sampling-based Feedback Motion Trees among obstacles for controllable linear systems with linear constraints. In Proceedings - IEEE International Conference on Robotics and Automation, volume 2015-June, pages 4195–4201, 2015.    DOI  Lev Semenovich Pontryagin. Mathematical theory of optimal processes. CRC Press, 1987.    Lydia E. Kavraki, Petr Švestka, Jean Claude Latombe, and Mark H. Overmars. Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 12(4):566–580, 1996.    DOI  Lydia E. Kavraki, Petr Švestka, Jean Claude Latombe, and Mark H. Overmars. Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 12(4):566–580, 1996.    DOI 
Keywords: Motion Planning, PRM
Martin Wermelinger, Péter Fankhauser, Remo Diethelm, Philipp Krüsi, Roland Siegwart, and Marco Hutter. Navigation planning for legged robots in challenging terrain. IEEE International Conference on Intelligent Robots and Systems, 2016-Novem:1184–1189, 2016.    DOI  Susan M. Fitzpatrick, Hoby P. Hetherington, Kevin L. Behar, and Robert G. Shulman. Effects of Acute Hyperammonemia on Cerebral Amino Acid Metabolism and pHi In Vivo, Measured by 1H and 31P Nuclear Magnetic Resonance, volume 52. 1989.    DOI 
Keywords: Acute hyperammonemia, Amino acids, Glutamate and glutamine, In vivo nuclear magnetic resonance, Intracellular pH
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun. Vision meets robotics: The KITTI dataset. International Journal of Robotics Research, 32(11):1231–1237, 9 2013.    DOI  http 
Keywords: Dataset, GPS, KITTI, SLAM, autonomous driving, benchmarks, cameras, computer vision, field robotics, laser, mobile robotics, object detection, optical flow, stereo, tracking
Stefano Soatto. Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control. 2011.    http  P Cannon. The world is upside down. Research-Technology Management, 49(1):4–6, 2006.    George M. Stratton. Vision withou Inversion of the Retinal Image. Psychological Review, IV(4):341, 1897.    http  Pierre Sachse, Ursula Beermann, Markus Martini, Thomas Maran, Markus Domeier, and Marco R. Furtner. “The world is upside down” – The Innsbruck Goggle Experiments of Theodor Erismann (1883–1961) and Ivo Kohler (1915–1985). Cortex, 92:222–232, 2017.    DOI 
Keywords: Adaptation, After-effects, Ivo Kohler, Prismatic goggles, Theodor Erismann, Visual perception
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Keywords: Games, Learning (artificial intelligence), Neural networks, RL, Robot sensing systems, Training, Visualization, deep reinforcement learning, dexterous manipulators, directed graphs, general purpose modular neural network policy trai, learning (artificial intelligence), manipulator dynamics, manipulator kinematics, mix-and-match modules, modular neural network policy learning, multi-robot systems, multitask multirobot transfer learning, neural nets, nonvisual tasks, robot dynamics, robot kinematics, robot vision, robot-specific modules, robotic skills, task-specific modules, visual tasks, zero-shot generalization
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. arXiv preprint arXiv:1611.04558, 2016.    DOI  http  Daniel Silver, Qiang Yang, and Lianghao Li. Lifelong Machine Learning Systems: Beyond Learning Algorithms. In Proceedings of the 2013 AAAI Spring Symposium on Lifelong Machine Learning, volume 13, pages 1–7, 2013.    http  Ramtin Mehdizadeh Seraj. Multi-task Learning. In Learning to learn, pages 95–133. Springer, 2014.    Fangxiang Feng, Xiaojie Wang, and Ruifan Li. Cross-modal Retrieval with Correspondence Autoencoder. In Proceedings of the ACM International Conference on Multimedia - MM '14, pages 7–16. ACM, 2014.    DOI  http  Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, and Koray Kavukcuoglu. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. arXiv preprint arXiv:1802.01561, 2018.    http  Brian Paden and Emilio Frazzoli. A Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning. PhD thesis, Massachusetts Institute of Technology, 2016.    http  D. Impiombato, S. Giarrusso, T. Mineo, O. Catalano, C. Gargano, G. La Rosa, F. Russo, G. Sottile, S. Billotta, G. Bonanno, S. Garozzo, A. Grillo, D. Marano, and G. Romeo. Characterization and performance of the ASIC (CITIROC) front-end of the ASTRI camera. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 794:185–192, 2015.    DOI 
Keywords: ASIC for SiPM, ASTRI, CITIROC, Front-end
Mark Everingham, Luc Van Gool, Christopher K.I. Williams, John Winn, and Andrew Zisserman. The pascal visual object classes (VOC) challenge. International Journal of Computer Vision, 88(2):303–338, 2010.    DOI 
Keywords: Benchmark, Database, Object detection, Object recognition
Steven M. LaValle. Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces. Foundations and Trends in Robotics, 1(4):253–372, 2010.    DOI  http  M L Schneider. No Title. Sci. Adv., 4, 1 2018.    www:  Mihail Pivtoraiko and Alonzo Kelly. Generating State Lattice Motion Primitives for Differentially Constrained Motion Planning. Ppniv12.Irccyn.Ec-Nantes.Fr.    .pdf  Jonathan Butzke, Krishna Sapkota, Kush Prasad, Brian Macallister, and Maxim Likhachev. State lattice with controllers: Augmenting lattice-based path planning with controller-based motion primitives. IEEE International Conference on Intelligent Robots and Systems, pages 258–265, 2014.    DOI  Maxim Likhachev. Search-based Planning with Motion Primitives. 2010.    .pdf  Maxim Likhachev and Dave Ferguson. Planning long dynamically feasible maneuvers for autonomous vehicles. International Journal of Robotics Research, 28(8):933–945, 2009.    DOI  A Mathematical Introduction to Robotic Manipulation. 1994.    http  Desmond Clarke. Descartes's Theory of Mind. Descartes's Theory of Mind, pages 1–276, 2003.    DOI 
Keywords: Descartes, Dualism, Explanation, Imagination, Matter, Memory, Sensation, Substance, Theory of mind
M. Litzenberger, C. Posch, D. Bauer, A.N. Belbachir, P. Schon, B. Kohn, and H. Garn. Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor. 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop, pages 173–178, 2006.    DOI  http 
Keywords: address-event representation, embedded vision system, neuromorphic vision sensor, real-time object tracking
Tobi Delbruck and Manuel Lang. Robotic goalie with 3 ms reaction time at 4% CPU load using event-based dynamic vision sensor. Frontiers in Neuroscience, (7 NOV), 2013.    DOI 
Keywords: AER, Address-event representation, Asynchronous vision sensor, High frame rate, High-speed visually guided robotics, Neuromorphic system, Soccer
Elias Mueggler, Nathan Baumli, Flavio Fontana, and Davide Scaramuzza. Towards evasive maneuvers with quadrotors using dynamic vision sensors. 2015 European Conference on Mobile Robots, ECMR 2015 - Proceedings, 2015.    DOI 
Keywords: Cameras, Computers, Delays, Light emitting diodes, Robots, Sensors, Voltage control
Tobi Delbruck. Frame-free dynamic digital vision. Proceedings of Intl. Symp. on Secure-Life Electronics, Advanced Electronics for Quality Life and Society, pages 21–26, 2008.    DOI 
Keywords: address-event, aer, feature extraction, low-, neuromorphic, sensor, spike, surveillance, tracking, vision
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Keywords: (TSP), ARRAY(0x7f65f80587d0), Algorithms, Asymptotic stability, Average consensus, Backstepping, Building, Building automation, CYBER-physical systems, Camera sensor, Comfort, Containment control, Control, Control applications, Distributed control, EMBEDDED computer systems, Energy, Event-based control, Event-based systems, Event-triggered control, Event-triggered control (ETC), Familial longevity, Fisheries, Full view coverage, Function-block (FB) model, Functional status, Human, IEC 61499, IEC 61850, IGF-1 axis, Linear Quadratic Regulator, Lyapunov functional, MIMO interference channel, Management, Nash bargaining, Networked control systems, Occupants, Optimization, PID fractional, Pareto region, Power system automation, Random deployment, Smart grid, State-based schedulers, Survival, component, constrained optimization, control design, delay differential equation, demand side management control, device profile for web service (DPWS), distributed control, distributed optimization, double-integrator dynamics, droop method, economic cost function, electrical distribution networks, fractional model, hierarchical control, icle, industrial automation, microgrids, minimum interevent time (MIET), miso, model predictive control (MPC), model-driven engineering (MDE), motion planning, multi-agent systems, multicriteria optimization (MCO), network-induced delay, networked control systems, optimal control, output feedback, partial differential equation, prediction-based feedback, primaldual subgradient method, quantization, real-time (RT) Linux, regression, research and development, robust controller, rotary kiln, rotatory kiln, semantic web, service composition, service-oriented architecture (SOA), smart grid, stability, state observer, stochastic systems, technological innovation, technology transfer, time-delay systems., traveling salesman problem, unmanned aerial vehicles (UAVs), unreachable setpoint
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