ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

1649 result(s) for “Deep Learning in Grasping and Manipulation” Page 10 of 33

	Title & Authors	Actions
	Tumbling Robot Control Using Reinforcement Learning Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos	View PDF
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	Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning Boris Ivanovic, James Harrison, Marco Pavone	View PDF
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	Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari	View PDF
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	Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin	View PDF
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	SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar	View PDF
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	LEMURS: Learning Distributed Multi-Robot Interactions Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues	View PDF
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	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka	View PDF
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	Learning and Blending Robot Hugging Behaviors in Time and Space Drolet Michael, Joseph Campbell, Heni Ben Amor	View PDF
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	Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier	View PDF
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	Learning Visual-Audio Representations for Voice-Controlled Robots Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Driggs-Campbell	View PDF
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	Start State Selection for Control Policy Learning from Optimal Trajectories Christoph Zelch, Jan Peters, Oskar von Stryk	View PDF
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	Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon	View PDF
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	Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl	View PDF
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	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia, Ankur Mali	View PDF
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	Reinforcement Learning for Safe Robot Control Using Control Lyapunov Barrier Functions Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan	View PDF
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	Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu, Erik-Jan van Kampen, Guido de Croon	View PDF
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	Explainable Action Advising for Multi-Agent Reinforcement Learning Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara	View PDF
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	Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning DI WANG, Zhi-Xin Yang	View PDF
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	Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina	View PDF
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	Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN	View PDF
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	Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI	View PDF
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	Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube Shuli Lv, Yan Gao, jiaxing Che, Quan Quan	View PDF
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	Extraneousness-Aware Imitation Learning Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu	View PDF
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	Learning-Based Uncertainty-Aware Navigation in 3D Off-Road Terrains Hojin Lee, Junsung Kwon, Cheolhyeon Kwon	View PDF
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	Conflict-Constrained Multi-Agent Reinforcement Learning Method for Parking Trajectory Planning Siyuan Chen, Meiling Wang, Yi Yang, Wenjie Song	View PDF
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	Learning Depth Completion of Transparent Objects Using Augmented Unpaired Data Floris Marc Arden Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae	View PDF
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	A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
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	Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments Astghik Hakobyan, Insoon Yang	View PDF
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	Slice Transformer and Self-Supervised Learning for 6DoF Localization in 3D Point Cloud Maps Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, michael wise, Ajmal Mian	View PDF
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	Fusing Event-Based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges Gielen	View PDF
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	Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi	View PDF
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	Learning Exploration Strategies to Solve Real-World Marble Runs Alisa Allaire, Christopher Atkeson	View PDF
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	Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, longxin kan, Muralidharan Mohanakrishnan, Cecilia Laschi	View PDF
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	GIDP: Learning a Good Initialization and Inducing Descriptor Post-Enhancing for Large-Scale Place Recognition Zhaoxin Fan, Zhenbo Song, Jun He, Hongyan Liu	View PDF
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	Off-policy Imitation Learning from Visual Inputs Zhihao Cheng, Li Shen, Dacheng TAO	View PDF
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	Exploring Navigation Maps for Learning-Based Motion Prediction Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer	View PDF
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	Follow the Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian Scherer	View PDF
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	Learning Personalised Human Sit-To-Stand Motion Strategies Via Inverse Musculoskeletal Optimal Control Daniel F. N. Gordon, Andreas Christou, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar	View PDF
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	NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics Ryan Griffiths, Jack Naylor, Donald Dansereau	View PDF
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	Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai, David Hsu	View PDF
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	Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure	View PDF
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	Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris	View PDF
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	Learning Stable Vector Fields on Lie Groups Julen Urain De Jesus, Davide Tateo, Jan Peters	View PDF
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	Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta	View PDF
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	DriveIRL: Drive in Real Life with Inverse Reinforcement Learning Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil Tomov, Robert Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric Wolff	View PDF
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	Reinforced Learning for Label-Efficient 3D Face Reconstruction Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun	View PDF
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	Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators YUNTAO MA, Farbod Farshidian, Marco Hutter	View PDF
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	Learning to Play Table Tennis from Scratch Using Muscular Robots Büchler, Dieter,Guist, Simon,Calandra, Roberto,Berenz, Vincent,Schölkopf, Bernhard,Peters, Jan	View PDF
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	FDLNet: Boosting Real-Time Semantic Segmentation by Image-Size Convolution Via Frequency Domain Learning Qingqing Yan, Shu Li, Chengju Liu, Ming Liu, Qijun Chen	View PDF
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	Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning Eric Vollenweider, Marko Bjelonic, Victor Klemm, Nikita Rudin, joonho lee, Marco Hutter	View PDF
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