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2273 result(s) for “Machine Learning for Robot Control” Page 3 of 46
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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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Design, Simulation and Kinematic Verification of a Multi-Loop Ankle-Foot Prosthetic Mechanism
Majun Song, Weihai Chen, Sheng Guo, Zhongyi Li, John Rasmussen, Shaoping Bai, Hao Zheng
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Skill Learning in Robot-Assisted Micro-Manipulation through Human Demonstrations with Attention Guidance
Yujian An, Jianxin Yang, Jinkai Li, Bingze He, Yao Guo, Guang-Zhong Yang
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Looking Inside Out: Anticipating Driver Intent from Videos
Yung-Chi Kung, Arthur Zhang, Junmin Wang, Joydeep Biswas
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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A Provably Stable Iterative Learning Controller for Continuum Soft Robots
Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina
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Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots
Wuichung Cheng, Ngo Foon Chan, Darwin Lau
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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Environmental Awareness Dynamic 5G QoS for Retaining Real Time Constraints in Robotic Applications
Gerasimos Damigos, Akshit Saradagi, Sara Sandberg, George Nikolakopoulos
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Realtime Brain-Inspired Adaptive Learning Control for Nonlinear Systems with Configuration Uncertainties
Yanhui Zhang, zheyu tong, YiFan Zhang, SONG CHEN, Junyuan Yang, Weifang Chen
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On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Alaa Eddine Chriat, Chuangchuang Sun
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SliceIt! - a Dual Simulator Framework for Learning Robot Food Slicing
Cristian Camilo Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya
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A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators
Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella
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Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou Ammar, Krzysztof, Tadeusz Walas, Piotr Skrzypczynski, Jan Peters
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Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning
Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma
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How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
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Conformal Policy Learning for Sensorimotor Control under Distribution Shifts
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving with Model Predictive Path Integral Control
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee
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HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation
Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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Learning-Based Model Predictive Control for an Autonomous Formula Student Racing Car
David Gomes, Miguel Botto, Pedro U. Lima
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Geometric Fabrics: A Safe Guiding Medium for Policy Learning
Karl Van Wyk, Ankur Handa, Viktor Makoviichuk, Yijie Guo, Arthur Allshire, Nathan Ratliff
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Cascaded Compositional Residual Learning for Complex Interactive Behaviors
Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris
Achira Boonrath, Feng Liu, Eleonora Botta, Souma Chowdhury
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Robotic Needle Insertion with 2D Ultrasound � 3D CT Fusion Guidance
Long Lei, Baoliang Zhao, Xiaozhi Qi, Rui Mi, Hai Ye, Peng Zhang, Qiong Wang, Pheng Ann HENG, Ying HU
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Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
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Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, Karen Liu
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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LAGOON: Language-Guided Motion Control
Shusheng Xu, Huaijie Wang, Yutao Ouyang, Jiaxuan Gao, Zhiyu Mei, Chao Yu, Yi Wu
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Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks Using Reinforcement Learning
Siqi Wang, Shaoyuan Li, Li Yin, Xiang Yin
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Adaptive Whole-Body Robotic Tool-Use Learning on Low-Rigidity Plastic-Made Humanoids Using Vision and Tactile Sensors
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
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AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains
Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, hongxia Chu, Maurice Pagnucco, Yang Song
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Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped Robots
Taixian Hou, Jiaxin Tu, Xiaofei Gao, Zhiyan Dong, Peng Zhai, Lihua ZHang
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Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
Yu Zhang, Long Wen, Xiangtong Yao, Zhenshan Bing, Linghuan Kong, Wei He, Alois Knoll
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Robust Jumping with an Articulated Soft Quadruped Via Trajectory Optimization and Iterative Learning
Jiatao Ding, Mees Alexander van Löben Sels, Franco Angelini, Jens Kober, Cosimo Della Santina
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Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion
Donghoon Youm, Hyunyoung Jung, HyeongJun Kim, Jemin Hwangbo, Hae-Won Park, Sehoon Ha
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Reinforcement Learning with Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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Learning Agile Locomotion and Adaptive Behaviors Via RL-Augmented MPC
Yiyu Chen, Quan Nguyen
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