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2273 result(s) for “Machine Learning for Robot Control” Page 4 of 46
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Extremum-Seeking Action Selection for Accelerating Policy Optimization
Ya-Chien Chang, Sicun Gao
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Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects
Mélodie DANIEL, Aly Magassouba, Miguel Aranda, Laurent LEQUIEVRE, Juan Antonio Corrales Ramon, Roberto Iglesias, Youcef Mezouar
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Learning Agile Bipedal Motions on a Quadrupedal Robot
Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
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Learning-based Inverse Perception Contracts and Applications
Dawei Sun, benjamin yang, Sayan Mitra
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AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
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Terrain-Adaptive Locomotion Control for an Underwater Hexapod Robot: Sensing Leg-Terrain Interaction with Proprioceptive Sensors
Lepeng Chen, Rongxin Cui, Weisheng Yan, Hui Xu, Shouxu Zhang, Haitao Yu
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Point-Wise Vibration Pattern Production Via a Sparse Actuator Array for Surface Tactile Feedback
Xiaosa Li, Runze Zhao, Chengyue Lu, XIAO XIAO, Wenbo Ding
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Direct learning of home vector direction for insect-inspired robot navigation
Michiel Vital M Firlefyn, Jesse Hagenaars, Guido de Croon
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Prescient Collision-Free Navigation of Mobile Robots with Iterative Multimodal Motion Prediction of Dynamic Obstacles
Ze Zhang, Hadi Hajieghrary, Emmanuel Dean, Knut Akesson
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An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning from Demonstration
Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani
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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Deep Compliant Control for Legged Robots
Adrian Hartmann, Dongho Kang, Fatemeh Zargarbashi, Miguel Angel Zamora Mora, Stelian Coros
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Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Malte Mosbach, Sven Behnke
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A Semi-Autonomous Data Driven Shared Control Framework for Robotic Manipulation and Cutting of an Unknown Deformable Tissue
Nicholas Strohmeyer, Ji Hwan Park, Braden Murphy, Farshid Alambeigi
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Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing
Fan Zhang, Yiannis Demiris
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Collision Avoidance and Navigation for a Quadrotor Swarm Using End-To-End Deep Reinforcement Learning
Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav Sukhatme
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Campus Map: A Large-Scale Dataset to Support Multi-View VO, SLAM and BEV Estimation
James Ross, Nimet Kaygusuz, Oscar Mendez, Richard Bowden
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Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
francesco vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina
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Actor-Critic Model Predictive Control
Angel Romero, Yunlong Song, Davide Scaramuzza
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VO-Safe Reinforcement Learning for Drone Navigation
Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
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Decentralized Motor Skill Learning for Complex Robotic Systems
Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen
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Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation
Chenhui Zuo, Kaibo He, Jing Shao, Yanan Sui
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Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
Zheng Shen, Matteo Saveriano, Fares Abu-Dakka, Sami Haddadin
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Mixed Traffic Control and Coordination from Pixels
Michael Villarreal, Bibek Poudel, Jia Pan, Weizi Li
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Safe and Individualized Motion Planning for Upper-Limb Exoskeleton Robots Using Human Demonstration and Interactive Learning
Yu Chen, Gong Chen, jing ye, Xiangjun Qiu, Xiang LI
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Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
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Receding-Constraint Model Predictive Control Using a Learned Approximate Control-Invariant Set
Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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OptiState: State Estimation of Legged Robots Using Gated Networks with Transformer-Based Vision and Kalman Filtering
Alexander Schperberg, Yusuke Tanaka, Saviz Mowlavi, Feng Xu, Bharathan Balaji, Dennis Hong
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
Rafael J. Escarabajal, José Luis Pulloquinga, Pau Zamora-Ortiz, Angel Valera, Vicente Mata, Marina Valles
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Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles
Joonhee Lim, Kibeom Lee, Dongsuk Kum
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End-To-End Reinforcement Learning for Time Optimal Quadcopter Flight
Robin Ferede, Christophe De Wagter, Dario Izzo, Guido de Croon
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ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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Helical Control in Latent Space: Enhancing Robotic Craniotomy Precision in Uncertain Environments
Yuanyuan Jia, Jessica Qu, Tadahiro Taniguchi
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
Cai Mingyu, Karankumar Patel, Soshi Iba, Songpo Li
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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Symmetry-Aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Nguyen Hai, Tadashi Kozuno, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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Sim2Real Transfer of Reinforcement Learning for Concentric Tube Robots
Keshav Kannan Iyengar, S.M.Hadi Sadati, Christos Bergeles, Sarah Spurgeon, Danail Stoyanov
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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
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COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
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Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
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Robust Policy Iteration of Uncertain Interconnected Systems with Imperfect Data
Omar Qasem, Weinan Gao
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