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ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2880 result(s) for “Integrated Planning and Learning” Page 17 of 58
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UMBRELLA: Uncertainty-Aware Multi-Robot Reactive Coordination under Dynamic Temporal Logic Tasks AI summary
Qisheng Zhao, Meng Guo, Hengxuan Du, Lars Lindemann, Zhongkui Li
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AMPLIFY: Actionless Motion Priors for Robot Learning from Videos AI summary
Jeremy Collins, Lorand Cheng, Kunal Aneja, Albert Wilcox, Benjamin Joffe, Animesh Garg
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Safe and Optimal Variable Impedance Control Via Certified Reinforcement Learning AI summary
Shreyas Kumar, Ravi Prakash
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Diverse Skill Discovery in Fourier Latent Space Via Unsupervised Learning AI summary
Ruopeng Cui, Yucong Sun, Xizhou Bu, Wang Chao, Wei Li
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NavDP: Learning Sim-To-Real Navigation Diffusion Policy with Privileged Information Guidance AI summary
Wenzhe Cai, Jiaqi Peng, Yuqiang Yang, Yujian Zhang, MENG WEI, Hanqing Wang, Yilun Chen, Tai Wang, Jiangmiao Pang
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Intent Recognition in Gait Transition Using Muscle Volume Sensors with Deep Learning AI summary
Geonwoo Park, MooJin Woo, Jiwoo Oh, Hyeon Chan Chei, Keonyoung Oh
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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning AI summary
Haeone Lee, Taywon Min, Junsu Kim, Sinjae Kang, Fangchen Liu, Lerrel Pinto, Kimin Lee
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Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation AI summary
Hang Yu, Christophe De Wagter, Guido de Croon
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AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability AI summary
Yuheng Qiu, CAN XU, Yutian Chen, Shibo Zhao, Junyi Geng, Sebastian Scherer
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Denoising Particle Filters: Learning State Estimation with Single-Step Objectives AI summary
Lennart Röstel, Berthold Bäuml
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Kilometer-Scale GNSS-Denied UAV Navigation Via Heightmap Gradients: A Winning System from the SPRIN-D Challenge AI summary
Michal Werner, David Čapek, Tomá� Musil, Ondrej Franek, Tomas Baca, Martin Saska
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MoE-Powered Fast VLMs Via Curriculum Learning-Based Knowledge Distillation: Taming Regular and Corner Cases in Autonomous Driving AI summary
Xue Zhao, Zhou Fang
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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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Distributed First-Order and Second-Order Adaptive Hybrid Optimization for Multi-Robot Learning AI summary
Yilun Zhang, Xianghua Xie, Lu Zhang
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Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies AI summary
Chinmay Samak, Tanmay Samak, Venkat Krovi
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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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Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation AI summary
Hoseong Jung, Sungil Son, Daesol Cho, Jonghae Park, Changhyun Choi, H. Jin Kim
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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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Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields AI summary
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
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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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Efficient Collision-Avoidance for Multi-Robot System with Superquadric Models and Sum-Of-Squares Approximation AI summary
Siyi Lu, Sipu Ruan
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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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LEAR: Learning Edge-Aware Representations for Event-To-LiDAR Localization AI summary
Kuangyi Chen, Jun Zhang, Yuxi Hu, Yi Zhou, Friedrich Fraundorfer
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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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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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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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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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Manipulating Elasto-Plastic Objects with 3D Occupancy and Learning-Based Predictive Control AI summary
Zhen ZHANG, Xiangyu CHU, Yunxi TANG, Lulu ZHAO, Jing HUANG, Zhongliang Jiang, K. W. Samuel Au
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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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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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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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M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark AI summary
Morui Zhu, Yongqi Zhu, Yihao Zhu, Qi Chen, Deyuan Qu, Song Fu, Qing Yang
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Estimating Force Interactions of Deformable Linear Objects from Their Shapes AI summary
Qi Jing Chen, Shilin Shan, Timothy Bretl, Quang-Cuong Pham
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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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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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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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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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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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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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