ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

1642 result(s) for “Integrated Planning and Learning” Page 7 of 33

	Title & Authors	Actions
	An Architecture for Reactive Mobile Manipulation On-The-Move Ben Burgess-Limerick, Christopher Lehnert, Jurgen Leitner, Peter Corke	View PDF
Loading…
	Kinegami: Algorithmic Design of Compliant Kinematic Chains from Tubular Origami Chen, Wei-Hsi,Yang, Woohyeok,Peach, Lucien,Koditschek, Daniel,Sung, Cynthia	View PDF
Loading…
	Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber	View PDF
Loading…
	GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li	View PDF
Loading…
	Differentiable Collision Detection: A Randomized Smoothing Approach Louis Montaut, Quentin Le Lidec, Antoine Bambade, Vladimir Petrik, Josef Sivic, Justin Carpentier	View PDF
Loading…
	Learning Stable Dynamics Via Iterative Quadratic Programming Paul Gesel, Momotaz Begum	View PDF
Loading…
	Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao	View PDF
Loading…
	An Investigation on the Effect of Actuation Pattern on the Power Consumption of Legged Robots for Extraterrestrial Exploration Yuan Hu, Weizhong Guo, Rongfu Lin	View PDF
Loading…
	SEIL: Simulation-augmented Equivariant Imitation Learning Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt	View PDF
Loading…
	Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai	View PDF
Loading…
	Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar	View PDF
Loading…
	Guiding Reinforcement Learning with Shared Control Templates Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp	View PDF
Loading…
	Toward Efficient Physical and Algorithmic Design of Automated Garages Teng Guo, Jingjin Yu	View PDF
Loading…
	FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang	View PDF
Loading…
	Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto	View PDF
Loading…
	A Trajectory Planner for Mobile Robots Steering Non-Holonomic Wheelchairs in Dynamic Environments Martin Asghar Schulze, Friedrich Graaf, Lea Steffen, Arne Roennau, Rüdiger Dillmann	View PDF
Loading…
	Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li	View PDF
Loading…
	Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories Aastha Acharya, Rebecca Russell, Nisar Ahmed	View PDF
Loading…
	Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning Abraham George, Alison Bartsch, Amir Barati Farimani	View PDF
Loading…
	Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning Chong Zhang, Lizhi Yang	View PDF
Loading…
	Meta-Reinforcement Learning Via Language Instructions Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll	View PDF
Loading…
	Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks Zhenyu Lu, Ning Wang	View PDF
Loading…
	Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen	View PDF
Loading…
	Direction and Trajectory Tracking Control for Nonholonomic Spherical Robot by Combining Sliding Mode Controller and Model Prediction Controller Yifan Liu, Yixu Wang, Xiaoqing Guan, tao hu, Ziang Zhang, Song Jin, You Wang, Jie Hao, Guang Li	View PDF
Loading…
	Benchmarking Potential Based Rewards for Learning Humanoid Locomotion Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim	View PDF
Loading…
	Using Memory-Based Learning to Solve Tasks with State-Action Constraints Mrinal Verghese, Christopher Atkeson	View PDF
Loading…
	Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion Lev Grossman, Brian Plancher	View PDF
Loading…
	Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams	View PDF
Loading…
	SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari	View PDF
Loading…
	Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano	View PDF
Loading…
	Learning Continuous Control Policies for Information-Theoretic Active Perception Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov	View PDF
Loading…
	Obstacle Avoidance using Raycasting and Riemannian Motion Policies at kHz Rates for MAVs Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena Lerma, Roland Siegwart, Lionel Ott	View PDF
Loading…
	Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll	View PDF
Loading…
	Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman	View PDF
Loading…
	Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino	View PDF
Loading…
	Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu	View PDF
Loading…
	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen, Tian Lan, Vaneet Aggarwal	View PDF
Loading…
	Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors Shikha Surana, Bryan Wei Tern Lim, Antoine Cully	View PDF
Loading…
	Trajectory Optimization for 3D Shape-Changing Robots with Differential Mobile Base Mengke Zhang, Chao Xu, Fei Gao, Yanjun Cao	View PDF
Loading…
	Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer	View PDF
Loading…
	SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer	View PDF
Loading…
	Learning Generalizable Pivoting Skills Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres	View PDF
Loading…
	Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev	View PDF
Loading…
	Tumbling Robot Control Using Reinforcement Learning Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos	View PDF
Loading…
	Automating Reinforcement Learning with Example-Based Resets Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim	View PDF
Loading…
	Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning Boris Ivanovic, James Harrison, Marco Pavone	View PDF
Loading…
	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
Loading…
	Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin	View PDF
Loading…
	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
Loading…
	DeepRING: Learning Roto-Translation Invariant Representation for LiDAR Based Place Recognition Sha Lu, Xuecheng Xu, Li Tang, Rong Xiong, Yue Wang	View PDF
Loading…