Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

Clear
1567 result(s) for “Deep Learning for Visual Perception” Page 10 of 32
Title & Authors Actions
Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
 View PDF
FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
 View PDF
Autonomous Wristband Placement in a Moving Hand for Victims in SAR Scenarios with a Mobile Manipulator
Pastor, Francisco,Ruiz-Ruiz, Francisco J.,Gomez de Gabriel, Jesus Manuel,García-Cerezo, Alfonso
 View PDF
Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
 View PDF
Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
 View PDF
Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
 View PDF
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
Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
 View PDF
Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
 View PDF
Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
 View PDF
Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
 View PDF
SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
 View PDF
Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
 View PDF
Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
 View PDF
Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
 View PDF
Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
 View PDF
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
 View PDF
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
 View PDF
Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
 View PDF
Question Generation for Uncertainty Elimination of Referring Expression in 3D Environment
Fumiya Matsuzawa, YUE QIU, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh
 View PDF
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
 View PDF
Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
 View PDF
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
 View PDF
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
Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
 View PDF
Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
 View PDF
Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
 View PDF
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
 View PDF
Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
 View PDF
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
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
 View PDF
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
 View PDF
Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
 View PDF
Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
 View PDF
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
 View PDF
Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
 View PDF
Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
 View PDF
Tumbling Robot Control Using Reinforcement Learning
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos
 View PDF
Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
 View PDF
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
Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
 View PDF
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
Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
 View PDF
LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
 View PDF
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
Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
 View PDF
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
Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
 View PDF
Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
 View PDF
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
 View PDF