Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2802 result(s) for “Deep Learning for Visual Perception” Page 22 of 57
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PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis AI summary
Muqun Hu, Wenxi Chen, Wenjing Li, Falak Mandali, Zijian He, Renhong Zhang, Praveen Krisna, Katherine Christian, Leo Benaharon, Dizhi Ma, Karthik Ramani, Yan Gu
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Manifold-Constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning AI summary
Qingyi Chen, Ruiqi Ni, Junyoung Kim, Ahmed H. Qureshi
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Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning AI summary
Runze Tang, Penny Sweetser
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Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model AI summary
Minho Lee, Hyeonseok Kim, Jin Tak Kim, Sangshin Park, Jeong Hyun Lee, Jungsan Cho, Jemin Hwangbo
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Safe Whole-Body Loco-Manipulation Via Combined Model and Learning-Based Control AI summary
Alexander Schperberg, Yeping Wang, Stefano Di Cairano
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Agile Collision Avoidance for Deformable-Tethered Multi-Robot Systems Via Zone-Aware Hierarchical Learning and VLM-Guided Control AI summary
Zeyu Zhou, Jingwei Zhang, Hui Zhi, Yun Hao, Wei Tang, David Navarro-Alarcon
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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CLOVER: Context-Aware Long-Term Object Viewpoint and Environment Invariant Representation Learning AI summary
Amanda Adkins, Dongmyeong Lee, Joydeep Biswas
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Multi-Robot Trajectory Planning Via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution AI summary
Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes, Paulo Padrao, Ana Cavalcanti, Leonardo Bobadilla
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Enhancing Robot Learning through Cognitive Reasoning Trajectory Optimization under Unknown Dynamics AI summary
Qingwei Dong, Tingting Wu, Peng Zeng, Chuanzhi Zang, Guangxi Wan, Shijie Cui
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Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators AI summary
Gregory Campbell, Gentian Muhaxheri, Leonardo Ferreira Guilhoto, Christian Santangelo, Paris Perdikaris, James Pikul, Mark Yim
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DeepSkate: Reinforcement Learning of a Robust Controller for Energy Efficient Quadruped Skating AI summary
James Florin Petri, Gerard Lacey
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HITTER: A HumanoId Table TEnnis Robot Via Hierarchical Planning and Learning AI summary
Zhi Su, Bike Zhang, Nima Abraham Rahmanian, Yuman Gao, Qiayuan Liao, Caitlin Regan, Koushil Sreenath, Shankar Sastry
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Learning to Design Soft Hands Using Reward Models AI summary
Xueqian Bai, Nicklas Hansen, Adabhav Singh, Michael T. Tolley, Yan Duan, Pieter Abbeel, Xiaolong Wang, Sha Yi
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Learning Forward Looking Adaptation to Dynamic Payloads for Quadruped Locomotion Via Physics-Informed Neural Networks AI summary
Oscar Youngquist, Hao Zhang
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Influence of Gripper Design on Human Demonstration Quality for Robot Learning AI summary
Gina Georgadarellis, Natalija Beslic, Seonhun Lee, Frank Sup IV, Meghan Huber
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Decentralized Triangulation Formation without Communication: A Vision Transformer Based Learning Approach AI summary
Xinchi Huang, Guang YANG, Yi Guo
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Emergent Co-Adaptive Strategies in Heterogeneous Multi-Robot Systems Via Meta-Learning AI summary
Hexiang Zheng, Xvchun He, Yuan Gao
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MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies AI summary
Chengbo Yuan, Rui Zhou, Mengzhen Liu, Yingdong Hu, Shengjie Wang, Li Yi, Chuan Wen, Shanghang Zhang, Yang Gao
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Drive in Corridors: Enhancing the Safety of End-To-End Autonomous Driving Via Corridor Learning and Planning AI summary
Zhiwei Zhang, Ruichen Yang, Ke Wu, Zijun Xu, Jingchu Liu, Lisen Mu, Zhongxue Gan, Wenchao Ding
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Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning AI summary
Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
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CRED: Counterfactual Reasoning and Environment Design for Active Preference Learning AI summary
Yi-Shiuan Tung, Gyanig Kumar, Wei Jiang, Bradley Hayes, Alessandro Roncone
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SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation AI summary
Jaehwi Jang, Zhuoheng Wang, Ziyi Zhou, Feiyang Wu, Ye Zhao
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Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move AI summary
Bikram Pandit, Aayam Shrestha, Alan Fern
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DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation AI summary
Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen
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Learning Multiple Initial Solutions to Optimization Problems AI summary
Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus
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Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks AI summary
Soyoun Sung, Keehoon Kim
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Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data AI summary
Tianyu Li, Yihan Li, Zizhe Zhang, Nadia Figueroa
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FUNCanon: Learning Pose-Aware Action Primitives Via Functional Object Canonicalization for Generalizable Robotic Manipulation AI summary
Hongli Xu, Lei Zhang, Xiaoyue Hu, Boyang Zhong, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Knoll, Jianwei Zhang
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KALIKO: Kalman-Implicit Koopman Operator Learning for Prediction of Nonlinear Dynamical Systems AI summary
Albert H. Li, Ivan Dario Jimenez Rodriguez Rodriguez, Joel Burdick, Yisong Yue, Aaron Ames
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TACC: Multi-Agent Reinforcement Learning for Task Allocation with Communication Coordination in UAV Swarms AI summary
Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Lixian Shen and Jie Li∗
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FT-CPG: Learning Central Pattern Generators for Fault-Tolerant Quadruped Locomotion under Multi-Joint Failures AI summary
Pei Zhang, Zhaobo Hua, Qiyu Qiu, Jinliang Ding
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Learning Actuator-Aware Spectral Submanifolds for Precise Control of Continuum Robots AI summary
Paul Leonard Wolff, Hugo Buurmeijer, Luis Pabon, John Irvin Alora, Mark Leone, Roshan Kaundinya, Amirhossein Kazemipour, Robert Kevin Katzschmann, Marco Pavone
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Learning Autonomous and Safe Quadruped Traversal of Complex Terrains Using Multi-Layer Elevation Maps AI summary
Yeke Chen, Ji Ma, Zeren Luo, Yimin Han, YINZHAO DONG, Bowen Xu, Peng Lu
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Adaptive Legged Locomotion Via Online Learning for Model Predictive Control AI summary
Hongyu Zhou, Xiaoyu Zhang, Vasileios Tzoumas
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Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-Language Models AI summary
Mingen Li, Houjian Yu, Yixuan Huang, Youngjin Hong, Hantao Ye, Changhyun Choi
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COBALT: Crowdsourcing Robot Learning Via Cloud-Based Teleoperation with Smartphones AI summary
Ayush Agarwal, Ansh Gandhi, Jeremy Collins, Omar Rayyan, Aryan Sarswat, Ranjani Koushik, Masoud Moghani, Ajay Uday Mandlekar, Animesh Garg
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Learning on the Fly: Rapid Policy Adaptation Via Differentiable Simulation AI summary
Jiahe Pan, Jiaxu Xing, Rudolf Reiter, Yifan Zhai, Elie Aljalbout, Davide Scaramuzza
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Estimating Deformable-Rigid Contact Interactions for a Deformable Tool Via Learning and Model-Based Optimization AI summary
Mark Van der Merwe, Miquel Oller, Dmitry Berenson, Nima Fazeli
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Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd �AI Olympics with RealAIGym� Competition AI summary
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, Bumkyu Choi, Tim Faust, Habib Maraqten, Erfan Aghadavoodi Jolfaei, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Jong-kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
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PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations AI summary
Anmol Gupta, Weiwei Gu, Omkar Deepak Patil, Jun Ki Lee, Nakul Gopalan
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Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications AI summary
Chanwoo Kim, JiHwan Yoon, Hyeonseong Kim, Taemoon Jeong, Changwoo Yoo, Seungbeen Lee, SooHwan Byeon, Hoon Chung, Matthew Pan, Jean Oh, Kyungjae Lee, Sungjoon Choi
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Kungfubot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control AI summary
Jinrui Han, Weiji Xie, Jiakun Zheng, Jiyuan Shi, Weinan Zhang, Ting Xiao, Chenjia Bai
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What Matters in Learning a Zero-Shot Sim-To-Real RL Policy for Quadrotor Control? a Comprehensive Study AI summary
Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu, Huazhong Yang, Yu Wang
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Distributed AI for Robotics AI summary
Satyabhama Singh, Lars Wulfert, Hendrik Woehrle
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History-Aware Visuomotor Policy Learning Via Point Tracking AI summary
Jingjing Chen, Hongjie Fang, Chenxi Wang, Shiquan Wang, Cewu Lu
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PDLNet: Learning Point Cloud Distortion for Unsupervised Cross-Domain Point Cloud Segmentation in Adverse Weather AI summary
Shuhua Dong, Minxian Li, Haofeng Zhang
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Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection AI summary
Taehun Kong, Tae-Kyun Kim
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Learning Affordances at Inference-Time for Vision-Language-Action Models AI summary
Ameesh Shah, William Chen, Adwait Godbole, Federico Mora, Sanjit A. Seshia, Sergey Levine
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Self-Organised Sequential Multi-Agent Reinforcement Learning for Closely Cooperation Tasks AI summary
Hao Fu, YOU MINGYU, Zhou Hongjun, Bin He
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