Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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1140 result(s) for “Representation Learning” Page 11 of 23
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SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking Via End-To-End Offline Reinforcement Learning AI summary
Zewei Yang, Zengqi Peng, Jun Ma
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Trailer-aware End-to-end Autonomous Driving for Tractor-Trailers with Deep Reinforcement Learning AI summary
Congfei Li, Yang Li, Peigen Liu, Rongqi Gu, Zuolei Sun, Yuxiang Sun
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A Differential Dynamic Programming Framework for Inverse Reinforcement Learning AI summary
Kun Cao, Xinhang Xu, Wanxin Jin, Karl H. Johansson, Lihua Xie
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Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning AI summary
Nicolo Dal Fabbro, Milad Mesbahi, Mendes Renato, João Sousa, George J. Pappas
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AutoFocus-IL: VLM-Based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations AI summary
Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Bıyık
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Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning AI summary
Sunghwan Kim, Woojeh Chung, Zhirui Dai, Dwait Bhatt, Arth Shukla, Hao Su, Yulun Tian, Nikolay Atanasov
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Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale AI summary
Tobias Thomas Jülg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter
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Learning 6D Object Pose Estimation with Event Cameras Using Synthetic Data and Domain Randomization AI summary
Oussama Abdul Hay, Xiaoqian Huang, Muhammad Ahmed Humais, Abdulla Ayyad, Randa Almadhoun, Yahya Zweiri
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LLM-Guided Task and Affordance-Level Exploration in Reinforcement Learning AI summary
Jelle Douwe Luijkx, RUNYU MA, Zlatan Ajanovic, Jens Kober
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OHMM-PA: A Learning from Demonstration Approach Using Online Hidden Markov Models with Path Planning AI summary
Jan Irsperger, Diego Fernandez Prado, and Eckehard Steinbach
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A Framework for Soft Robot Control: Integrating Physics-Based Modeling with Exploration Based Learning AI summary
Costanza Armanini, Anthony Tzes, Andrea Del Prete, Fares Abu-Dakka
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How Bumpy Is It? Incremental Online Learning of Terrain-Induced Bumpiness Costs for Off-Road Vehicles AI summary
Haoyu Yuan, Tianwei Niu, Shengshan Ma, Runjiao Bao, Shoukun Wang
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Robust Person Re-Identification for Service Robots Via One-Class Body-Part Transformer and Continual Learning AI summary
Enrique Aleman-Gallegos, Sven Wachsmuth
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Active Scene Reconstruction with Topological Reasoning and Semantic-Augmented Reinforcement Learning AI summary
Yiqing Yuan, Zhi Li, Hao Ren, Kairao Zheng, Hui Cheng
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Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness AI summary
Bingkun Huang, Yuhe Gong, Zewen Yang, Tianyu REN, Luis Figueredo
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Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback AI summary
Feng Gao, Chao Yu, Yu Wang, Yi Wu
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Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments AI summary
Woonsang Kang, Joohyung Lee, Seungjun Kim, Jungchan Cho, Yoonseon Oh
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Iterative Learning-Based Centre-Of-Mass Impedance Control for Articulated-Soft Humanoid Robots AI summary
Yibin Wang, Lin Zhou, Sacha Morris, Shan Luo, Emmanouil Spyrakos-Papastavridis
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Learning Robust Control Policies for Inverted Pose on Miniature Blimp Robots AI summary
Yuanlin Yang, Lin Hong, Fumin Zhang
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Learning Semantic Priorities for Autonomous Target Search AI summary
Max Lodel, Nils Wilde, Robert Babuska, Javier Alonso-Mora
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Squeezing the Last Drop of Accuracy: Hand-Eye Calibration Via Deep Reinforcement Learning-Guided Pose Tuning AI summary
Seunghui Shin, Daeho Kim, Hyoseok Hwang
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Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interfaces AI summary
Jiyu Wei, Di Hong, Zhanjie Zhang, Dazhong Rong, Qinming He, Yueming Wang
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Learning Neural Observer-Predictor Models for Limb-Level Sampling-Based Locomotion Planning AI summary
Abhijeet Mangesh Kulkarni, Ioannis Poulakakis, Guoquan (Paul) Huang
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Hybrid Model-Learning Decoupled Control for Tendon-Driven Multi-Segment Continuum Robotic Bronchoscope AI summary
Yawen Deng, Chao Guo, Wenhao He, Gui-Bin Bian
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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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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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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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DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction AI summary
Mayank Patel, Rahul Jain, Asim Unmesh, Karthik Ramani
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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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URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning AI summary
Fengkang Ying, Hanwen Zhang, Haozhe Wang, Huishi Huang, Marcelo H Ang Jr
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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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User-Tailored Learning to Forecast Walking Modes for Exosuits AI summary
Gabriele Abbate, Enrica Tricomi, Nathalie Gierden, Alessandro Giusti, Lorenzo Masia, Antonio Paolillo
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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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Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction AI summary
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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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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Decentralized Triangulation Formation without Communication: A Vision Transformer Based Learning Approach AI summary
Xinchi Huang, Guang YANG, Yi Guo
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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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EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover AI summary
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby Breckon
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Vision-Guided Outdoor Flight and Obstacle Evasion Via Reinforcement Learning AI summary
Shiladitya Dutta, Aayush Gupta, Varun Saran, Avideh Zakhor
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Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight AI summary
Angel Romero, Ashwin Shenai, Ismail Geles, Elie Aljalbout, Davide Scaramuzza
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EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos AI summary
Tao Zhang, Song Xia, Ye Wang, Qin Jin
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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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