Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2887 result(s) for “Deep Learning in Robotics and Automation” Page 16 of 58
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Learning Maximal Safe Sets Using Hypernetworks for MPC-Based Local Trajectory Planning in Unknown Environments AI summary
Bojan Derajic, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hoenig
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Transformer-Based Hierarchical Reinforcement Learning for Sequential Decision-Making in Swarm Confrontation AI summary
Ruozhai Sun, Qizhen Wu, Lei Chen
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization AI summary
Yu Liu, Yihang Yin, Tianlv Huang, Fei Yan, Yuan Xu, Weinan Hong, Wei Han, Yue Cao, Xiangyu Chen, Zipei Fan, Xuan Song
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MIMO: A Multimodal Imitation Learning Framework for Mobile Manipulation with Exoskeleton-VR Teleoperation AI summary
Jie Mei, Xinkai Wu, Yue Zhang, Tao Song, Zhongxia Xiong
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Scaling Multi-Agent Reinforcement Learning for Underwater Acoustic Tracking Via Autonomous Vehicles AI summary
Matteo Gallici, Ivan Masmitja, Mario Martin
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HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation AI summary
whiteboard; pulling open a door; opening a microwave; tightening a nut and lifting a trash can.)
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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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Multi-Robot Learning-Informed Task Planning under Uncertainty AI summary
Abhish Khanal, Abhishek Paudel, Hung Pham, Gregory Stein
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Planning-Guided Diffusion Policy Learning for Contact-Rich Bimanual Object Reorientation AI summary
Xuanlin Li, Tong Zhao, Bo Ai, Xinghao Zhu, Jiuguang Wang, Tao Pang, Kuan Fang
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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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ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation AI summary
Zhuoyun Zhong, Seyedali Golestaneh, Constantinos Chamzas
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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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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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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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Fast Exploration Planning with Learning-Based Motion Time Prediction for Aerial Robots AI summary
Ziyu Wang, Qianli Dong, Xuebo Zhang, Shiyong Zhang, Haobo Xi, Zhe Ma, Mingxing Yuan
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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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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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OccLLaMA: A Unified Occupancy-Language-Action World Model for Enhancing Motion Planning Via Multi-Task Learning AI summary
Julong Wei, Shanshuai Yuan, Pengfei Li, Xinyi Quan, Lei Tai, Jieru Zhao, Zhongxue Gan, Wenchao Ding
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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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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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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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MotIF: Motion Instruction Fine-Tuning AI summary
Minyoung Hwang, Donald Hejna, Dorsa Sadigh, Yonatan Bisk
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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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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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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 Semantic Priorities for Autonomous Target Search AI summary
Max Lodel, Nils Wilde, Robert Babuska, Javier Alonso-Mora
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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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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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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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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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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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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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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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