Research Analyzer

ICRA 2026

2898 papers · 2898 AI summaries · 2026

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2881 result(s) for “Learning and Adaptive Systems” Page 13 of 58
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From VO to NAO: Reactive Robot Navigation Using Velocity and Acceleration Obstacles AI summary
Asher Stern, Oz Ben-Yosef, Zvi Shiller
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Decentralized Swarm Control Via SO(3) Embeddings for 3D Trajectories AI summary
Dimitria Silveria, Kleber Cabral, Peter Travis Jardine, Sidney Givigi
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Generative Adversarial Imitation Learning for Robot Swarms: Learning from Human Demonstrations and Trained Policies AI summary
Mattes Kraus, Jonas Kuckling
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Safe and Dynamically-Feasible Motion Planning Using Control Lyapunov and Barrier Functions AI summary
Pol Mestres, Carlos Nieto-Granda, Jorge Cortes
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Real-Time Spatiotemporal Tubes for Dynamic Unsafe Sets AI summary
Ratnangshu Das, Siddhartha Upadhyay, Pushpak Jagtap
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Real-Time Generation of Near-Minimum-Energy Trajectories Via Constraint-Informed Residual Learning AI summary
Domenico Dona', Giovanni Franzese, Cosimo Della Santina, Paolo Boscariol, Basilio Lenzo
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Learning-Based Joint Control with Hierarchical Reinforcement Learning and On-Device Execution AI summary
Satoshi Yagi, Jun Morimoto
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Reinforcement Learning for Stair Locomotion of a Wheeled Bipedal Robot with Contact-Guided Behavior Cloning AI summary
Yi Gyeom Kim, Sejik Oh, Hyojin Jo, Dogyun Park, Nam Kyu Kwon
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ClustViT: Clustering-Based Token Merging for Semantic Segmentation AI summary
Fabio Montello, Ronja Güldenring, Lazaros Nalpantidis
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Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation AI summary
Zimu Gong, Brian Zhaoning Zhang, Chris Zhang, Kelvin Wong, Raquel Urtasun
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Learning View-Invariant Sign Language Representations Via Dual-Stream Contrastive Learning AI summary
Yuting Peng, Yuecong Min, Xilin Chen
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Field Calibration of Hyperspectral Cameras for Terrain Inference AI summary
Nathaniel Hanson, Benjamin Pyatski, Sam Hibbard, Gary Lvov, Oscar De La Garza, Charles A DiMarzio, Kristen Dorsey, Taskin Padir
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COLSON: Controllable Learning-Based Social Navigation Via Diffusion-Based Reinforcement Learning AI summary
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo, Ryo Kurazume
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SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning AI summary
Yun-Jie Ho, Zih-Yun Chiu, Yuheng Zhi, Michael C. Yip
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Real-Time Localization Scoring for Challenging Industrial Environments AI summary
Abdurrahman Yilmaz, Umut Dumandag, Aydin Cagatay Sari, Ismail Hakki Savci, Hakan Temeltas
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ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning AI summary
Yufeng Tian, Shuiqi Cheng, Tianming Wei, Tianxing Zhou, Yuanhang Zhang, Zixian Liu, Qianwei Han, Zhecheng Yuan, Huazhe Xu
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Learning Cooperative Strategies for Drone Swarms Using Multi-Agent Reinforcement Learning AI summary
Christian Llanes, Kyle Williams, Spencer Jensen, Samuel Coogan
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Data-Driven Control Optimization on Frequency Response for Fast and Precise Motion of Flexible Joint Robots AI summary
Deokjin Lee, Junho Song, Sehoon Oh
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Learning Humanoid Arm Motion Via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning AI summary
Ho Jae Lee, Se Hwan Jeon, Sangbae Kim
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Data-Efficient Constrained Robot Learning with Probabilistic Lagrangian Control AI summary
Shiming He, Yuzhe Ding
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Orthogonal Pulse-Width-Modulation for Combined Electromagnetic Actuation and Localization AI summary
Denis von Arx, Bradley J. Nelson, Quentin Boehler
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Efficient Active Search Via Amortized Path-Integral Policies AI summary
Tejus Gupta, Arsh Verma, Raymond Song, David Guttendorf, Conor Igoe, Luis E. Navarro-Serment, Jeff Schneider
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Contact-Driven Localization in a Freeform Robotic Self-Assembled Structure AI summary
Mohammadali Rashidioun, Michael Sosa, Petras Swissler
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Enabling Embodied Human-Robot Co-Learning: Requirements, Method, and Test with Handover Task AI summary
Emma M. van Zoelen, Hugo Veldman-Loopik, Karel van den Bosch, Mark Neerincx, David A. Abbink, Luka Peternel
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Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning AI summary
Md Mostafizur Rahman Komol, Brendan Tidd, Will Browne, Frederic Maire, Jason Williams, David Howard
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Using Non-Expert Data to Robustify Imitation Learning Via Offline Reinforcement Learning AI summary
Kevin Huang, Rosario Scalise, Cleah Winston, Ayush Agrawal, Yunchu Zhang, Rohan Baijal, Markus Grotz, Byron Boots, Benjamin Burchfiel, Hongkai Dai, Masha Itkina, Paarth Shah, Abhishek Gupta
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ILCL: Inverse Logic-Constraint Learning from Temporally Constrained Demonstrations AI summary
Minwoo Cho, Jaehwi Jang, Daehyung Park
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Higher Order Reasoning for Collaborative Communicationless Mobile Robot Operations AI summary
Jonathan Reasoner, Nicola Bezzo
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MA3DSG: Multi-Agent 3D Scene Graph Generation for Large-Scale Indoor Environments AI summary
Yirum Kim, Jaewoo Kim, Ue-Hwan Kim
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Learning Contact Tasks Skills Based on DMP and Affordance Templates AI summary
Hunjo Lee, Gi-Hun Yang
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Multi-Robot Collision Avoidance with Probabilistic Mahalanobis Distance Constraints AI summary
Zhaodong Chen, Dingfu Liu, Chuqing Feng, Yunxiao Shan
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An Efficient Learning-Based Task Planning Approach Using a Bio-Inspired Action Context-Free Grammar for Bimanual Manipulation AI summary
Carmona David, Jun Yang, Haoyong Yu
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Rapid Robot Manipulation Policy Learning Via Hierarchical Foundation-Model Prior Distillation AI summary
Qingwei Dong, Jiyuan Zhang, Guangxi Wan, ruikai liu, Peng Zeng
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Learning Quadruped Walking from Seconds of Demonstration AI summary
Ruipeng Zhang, Hongzhan Yu, Ya-Chien Chang, Chenghao Li, Henrik I. Christensen, Sicun Gao
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SignLoc: Robust Localization Using Navigation Signs and Public Maps AI summary
Nicky Zimmerman, Joel Loo, Ayush Agrawal, David Hsu
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EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments AI summary
Raghav Mishra, Ian Manchester
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MS-CRL: Multi-Scale Global Path Planning with Progressive Curriculum Reinforcement Learning AI summary
Nan Zhou, Xuqing Hu, Yixin Zhou, Rui Zhu, Fan Zhou, Ye Li, Guangqiang Yin
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Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain AI summary
Feiyang Wu, Xavier Nal, Jaehwi Jang, Wei Zhu, Zhaoyuan Gu, Anqi Wu, Ye Zhao
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Beyond Domain Randomization: Safety Certificates for Reinforcement Learning AI summary
Paula Stocco, Francesco Micheli, Niklas Schmid, John Lygeros, Efe Balta
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Task-Parameterized Motion Learning with Time-Sensitive Constraints AI summary
Julian Richter, João P. Oliveira, Christian Scheurer, Jochen J. Steil, Niels Dehio
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Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots Via Feature-Wise Linear Modulation AI summary
Minsung Yoon, Jeil Jeong, Sung-eui Yoon
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A Large Language Model-Based Mission Manager for Autonomous UAV Control AI summary
Milos Cihlar
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Failure-Aware RL: Reliable Offline-To-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation AI summary
improving task performance.
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Toward Human Preference Optimization for Vision-Language-Action Models: A Pilot Study on the Limits of Imitation Learning AI summary
Tae-Won Lee, DongWook Kim
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Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion AI summary
Remko Proesmans, Thomas Lips, Francis wyffels
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Navigation of Robotic Swarmalators with Dynamics and Constraints AI summary
Xinyue Xu, Wei Xiao, Steven Ceron
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SoftMimic: Learning Compliant Whole-body Control from Examples AI summary
Gabriel Margolis, Michelle Wang, Nolan Fey, Pulkit Agrawal
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CaFe-TeleVision: A Coarse-To-Fine Teleoperation System with Immersive Situated Visualization for Enhanced Ergonomics AI summary
Zixin Tang, Yiming Chen, Quentin Rouxel, Dianxi Li, Shuang Wu, Fei Chen
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion AI summary
Min-Gyu Kim, Dongyun Kang, Hajun Kim, Hae-Won Park
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