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1753 result(s) for “Bioinspired Robot Learning” Page 9 of 36
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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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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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Agile in the Face of Delay: Asynchronous End-To-End Learning for Real-World Aerial Navigation AI summary
Yude Li, Zhexuan Zhou, Huizhe Li, Youmin Gong, Jie Mei
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Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait AI summary
Hossein Barati, Sangdo Kim, Thanh Xuan Nguyen, Jongwon Lee, Young Jin Park
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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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Agile and Controllable Omnidirectional Fast-Start Maneuvers of Robotic Fish Via Bio-Inspired Reinforcement Learning AI summary
Xu Huang, Xiaozhu Lin, Xiaopei Liu, Yang Wang
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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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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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Touch with Insight: Physics-Aware Data-Driven Learning for EIT-Based Tactile Sensing AI summary
Kiyanoush Nazari, Yunqi Huang, David Hardman, Fumiya Iida, Thomas George Thuruthel
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LEGO: Latent-Space Exploration for Geometry-Aware Optimization of Humanoid Kinematic Design AI summary
JiHwan Yoon, Taemoon Jeong, Jeongeun Park, Chanwoo Kim, Jaewoon Kwon, Yonghyeon Lee, Kyungjae Lee, Sungjoon Choi
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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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KISS-IMU: Self-Supervised Inertial Odometry with Motion-Balanced Learning and Uncertainty-Aware Inference AI summary
Jiwon Choi, Hogyun Kim, Geonmo Yang, Juhui Lee, Younggun Cho
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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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HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning AI summary
Lavanya Ratnabala,, Robinroy Peter,, Aleksey Fedoseev, and Dzmitry Tsetserukou
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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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Sce2DriveX: A Generalized MLLM Framework for Scene-To-Drive Learning AI summary
Zhao Rui, Yuan Qirui, li jinyu, Hu Haofeng, Li Yun, Gao Zhenhai, Gao Fei
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Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors AI summary
Şebnem Sarıözkan, HÃ1⁄4rkan Şahin, Olaya Álvarez-TuñÃ3n, Erdal Kayacan
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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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Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation AI summary
Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger
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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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Hydrodynamics Regularization in Reinforcement Learning for Navigating Crowded Scenarios AI summary
Lai Pingrui, Pan Renjie, Yu Jiaqi, Yang Hua
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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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Deep Reinforcement Learning for Reach-Avoid-Stay Problems AI summary
Gabriel Chenevert, Jingqi Li, Achyuta Kannan, Sangjae Bae, Donggun Lee
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RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying AI summary
Jiahui Zuo, Boyang Zhang, Fumin Zhang
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Tiny-DroNeRF: Tiny Neural Radiance Fields Aboard Federated Learning-Enabled Nano-Drones AI summary
Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi
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DRL-SFM: Learning Social Navigation from Costmaps and Social Forces for Mobile Robots and Intelligent Wheelchairs AI summary
Matthias Kalenberg, Kilian Gerhard Probst, Andreas Gründer, Christopher May, Jonas Walter, Jörg Franke
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Learning to Grasp by Integrating Human Preferences and Success Feedback AI summary
Juyeol Park, Byungjin Ko, Jong-Wan Yoon, Taejoon Park, Homin Park
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Physics-Informed Machine Learning for Efficient Sim-To-Real Data Augmentation in Micro-Object Pose Estimation AI summary
Tan Zongcai, Lan Wei, Dandan Zhang
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Learning a Shape-Adaptive Assist-As-Needed Rehabilitation Policy from Therapist-Informed Input AI summary
Zhimin Hou, Jiacheng Hou, Xiao Chen, Hamid Sadeghian, Tianyu REN, Sami Haddadin
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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning AI summary
Stella Kombo, Joel Burdick, Masih Haseli, Skylar X. Wei
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Reward Evolution with Graph-Of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning AI summary
Changwei Yao, Xinzi Liu, Chen Li, Marios Savvides
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Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language AI summary
Minyoung Hwang, Alexandra Forsey-Smerek, Nathaniel Dennler, Andreea Bobu
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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing AI summary
Leizheng Shu
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Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints AI summary
Shishun Zhang, Juzhan Xu, Yidan Fan, Chenyang Zhu, Ruizhen Hu, YONGJUN WANG, Kai Xu
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning AI summary
Chunxin ZHENG, Kai Chen, Zhihai Bi, Yulin Li, Liang Pan, Jinni ZHOU, Haoang Li, Jun Ma
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HoMeR: Learning In-The-Wild Mobile Manipulation Via Hybrid Imitation and Whole-Body Control AI summary
Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg
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BlurPoint: Efficient Motion Blur Aware Student-Teacher Local Feature Learning AI summary
Wenting Wang, Zhenjun Zhao, Jiaxin Guo, Yunhui Liu, Charlie C.L. Wang, Yeung Yam
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DexCtrl: Sim-To-Real Dexterity with Adaptive Controller Learning AI summary
Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka
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Towards Learning Boulder Excavation with Hydraulic Excavators AI summary
Jonas Gruetter, Lorenzo Terenzi, Pascal Arturo Egli, Marco Hutter
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