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1144 result(s) for “Bioinspired Robot Learning” Page 3 of 23
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GeRM: A Generalist Robotic Model with Mixture-Of-Experts for Quadruped Robot
Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, YaNing Fan, Donglin Wang
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TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen, Nicolas Rojas
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Learning to Place Unseen Objects Stably Using a Large-Scale Simulation
Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee
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Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
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Repairing Neural Networks for Safety in Robotic Systems Using Predictive Models
Keyvan Majd, Geoffrey Clark, Georgios Fainekos, Heni Ben Amor
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Signal Temporal Logic-Guided Apprenticeship Learning
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Learning Social Cost Functions for Human-Aware Path Planning
Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
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Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks
Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan
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Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration
Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal
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Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning
Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger
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ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges
Christoph Unger, Christian Hartl-Nesic, Minh Nhat Vu, Andreas Kugi
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Whole-Body Humanoid Robot Locomotion with Human Reference
Qiang Zhang, Peter Cui, David Yan, Jingkai SUN, YIQUN DUAN, Gang Han, Wen Zhao, Weining ZHANG, Yijie Guo, Arthur Zhang, Renjing Xu
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RESPRECT: Speeding-Up Multi-Fingered Grasping with Residual Reinforcement Learning
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
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Diff-Control: A Stateful Diffusion-Based Policy for Imitation Learning
Xiao Liu, Yifan Zhou, Fabian Clemens Weigend, Shubham Sonawani, Shuhei Ikemoto, Heni Ben Amor
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Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang, Hao Wang, Xiucai Huang, Wenrui Chen, Zhen Kan
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Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations
Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe
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SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha
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Learning Locomotion for Quadruped Robots Via Distributional Ensemble Actor-Critic
Sicen Li, YiMing Pang, Panju Bai, Jiawei Li, Zhaojin Liu, Shihao Hu, Li-Quan Wang, Gang Wang
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DexDribbler: Learning Dexterous Soccer Manipulation Via Dynamic Supervision
Yutong Hu, Kehan Wen, Fisher Yu
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Roofus: Learning-Based Robotic Moisture Mapping on Flat Rooftops with Ground Penetrating Radar
Kevin Lee, Wei-Heng Lin, Talha Javed, Sruti Madhusudhan, Bilal Sher, Chen Feng
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Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning
Kai Lu, Kim Tien Ly, William Hebberd, kaichen zhou, Ioannis Havoutis, Andrew Markham
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Domain Adaptation in Visual Reinforcement Learning Via Self-Expert Imitation with Purifying Latent Feature
Lin Chen, Jianan Huang, zhen zhou, Yaonan Wang, Yang Mo, Zhiqiang Miao, Kai Zeng, Mingtao Feng, Danwei Wang
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LF2SLAM: Learning-Based Features for Visual SLAM
Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante
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An End-To-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
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Understanding Robot Minds: Leveraging Machine Teaching for Transparent Human-Robot Collaboration across Diverse Groups
Suresh Kumaar Jayaraman, Reid Simmons, Aaron Steinfeld, Henny Admoni
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IndoorSim-To-OutdoorReal: Learning to Navigate Outdoors without Any Outdoor Experience
Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu
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A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots
Hao Yang, Haoying Zhou, Gregory Scott Fischer, Jie Ying Wu
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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
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Learning a Pre-Grasp Manipulation Policy to Effectively Retrieve a Target in Dense Clutter
Marios Kiatos, Leonidas Koutras, Iason Sarantopoulos, Zoe Doulgeri
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PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots
Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang
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IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Uday Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
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Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion
Ho Jae Lee, Seungwoo Hong, Sangbae Kim
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Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments
Yuxiang Cui, Shuhao Ye, Xuecheng Xu, Hao Sha, Cheng Wang, Longzhong Lin, Yifei Yang, Jiyu Yu, Zhe Liu, Rong Xiong, Yue Wang
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RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary
Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu
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On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning
Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart
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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control
Alberto Dionigi, Gabriele Costante, Giuseppe Loianno
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X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy
Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin
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Working Backwards: Learning to Place by Picking
Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Hogan, Gregory Dudek
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A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables
Nozawa, Itta,Kamienski, Emily,O'Neill, Cormac,Asada, Harry
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Binary Amplitude-Only Hologram Design for Acoustic End-Effector Construction by Physics-Based Deep Learning
Qing Liu, hu su, Jiaqi Li, Y.F. Li, zhiyuan ZHANG, Song LIU
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OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation
Hao Ding, Yiming Zeng, Zhaoliang Wan, Hui Cheng
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BronchoCopilot: Towards Autonomous Robotic Bronchoscopy Via Multimodal Reinforcement Learning
Jianbo Zhao, Hao Chen, Qingyao Tian, Jian Chen, Bingyu Yang, Zihui Zhang, Hongbin Liu
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Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell
Omey Mohan Manyar, Hantao Ye, Meghana Sagare, Siddharth Mayya, Fan Wang, Satyandra K. Gupta
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Learning Incipient Slip with GelSight Sensors: Attention Classification with Video Vision Transformers
Amit Parag, Edward Adelson, Ekrem Misimi
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Adaptive Trajectory Database Learning for Nonlinear Control with Hybrid Gradient Optimization
Kuan-Yu Tseng, Mengchao Zhang, Kris Hauser, Geir E. Dullerud
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Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images
Christian Geckeler, Emanuele Aucone, Yannick Schnider, Andri Simeon, Jan-Philipp von Bassewitz, Yunying Zhu, Stefano Mintchev
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MQE: Unleashing the Power of Interaction with Multi-Agent Quadruped Environment
Ziyan Xiong, bo chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
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