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2843 result(s) for “Machine Learning for Robot Control” Page 3 of 57
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Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy AI summary
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir, Fares Abu-Dakka
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3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing AI summary
Paul Matthew McHard, Florent P. Audonnet, Oliver Summerell, Sebastian Andraos, Paul Henderson, Gerardo Aragon-Camarasa
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Learning Load-Balanced Distributed Coverage for Robot Swarms Via Graph Attention Networks AI summary
∗, Wenzong Ma , Hui Xiong , and Yiding Ji
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Learning Neural Control Barrier Functions from Expert Demonstrations Using Inverse Constraint Learning AI summary
Yuxuan Yang, Hussein Sibai
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Reinforcement Learning Control Outperforms Iterative Learning in Exoskeleton-Assisted Gait Training AI summary
Andy Li, Haoran Li, Aytac Teker, Mariana Hernandez-Rocha, Biruk Gebre, Karen Nolan J., Kishore Pochiraju, Damiano Zanotto
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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles AI summary
Xin Yin, Haotian CAO, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie
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Learning Robust Control Policies for Inverted Pose on Miniature Blimp Robots AI summary
Yuanlin Yang, Lin Hong, Fumin Zhang
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning AI summary
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
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SignBot: Learning Human-To-Humanoid Sign Language Interaction AI summary
Guanren Qiao, Sixu Lin, Ronglai Zuo, Zhizheng Wu, Kui JIA, Guiliang Liu
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Time-Aware Assistive Navigation AI summary
Zhongkai Shangguan, Masaki Kuribayashi, Eshed Ohn-Bar
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Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation AI summary
Hoseong Jung, Sungil Son, Daesol Cho, Jonghae Park, Changhyun Choi, H. Jin Kim
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Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction AI summary
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation AI summary
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
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Deep Sensorimotor Control by Imitating Predictive Models of Human Motion AI summary
Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio
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Hybrid Model-Learning Decoupled Control for Tendon-Driven Multi-Segment Continuum Robotic Bronchoscope AI summary
Yawen Deng, Chao Guo, Wenhao He, Gui-Bin Bian
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HITTER: A HumanoId Table TEnnis Robot Via Hierarchical Planning and Learning AI summary
Zhi Su, Bike Zhang, Nima Abraham Rahmanian, Yuman Gao, Qiayuan Liao, Caitlin Regan, Koushil Sreenath, Shankar Sastry
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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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Goal-Oriented Control Strategies for Soft Growing Robots AI summary
Wentao Huang, Pengchun Li, Ziyi Zhang, Zuankai Wang, Dekai Zhou, Longqiu Li
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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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Risk-Aware Control of Tendon-Driven Continuum Robots Via CVaR-MPPI with Residual Learning for Hysteresis Compensation : A Pilot Study AI summary
Dongjun Lee, DongWook Kim
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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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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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Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring AI summary
Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer, Sebastien Kleff, Vincent Bonnet, Florent Lamiraux, Nicolas Mansard
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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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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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Flexible Locomotion Learning with Diffusion Model Predictive Control AI summary
Runhan Huang, Haldun Balim, HENG YANG, Yilun Du
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Learning-Based Fusion for Robust Multi-Spectral Visual Servoing AI summary
Enrico Fiasche, Siddharth Singh Savner, Ezio Malis, Philippe Martinet
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EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover AI summary
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby Breckon
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DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction Via Guided Diffusion AI summary
Dvij Kalaria, Sudarshan S Harithas, Pushkal Katara, Sangkyung Kwak, Sarthak Bhagat, Shankar Sastry, Srinath Sridhar, Sai Vemprala, Ashish Kapoor, Jonathan Chung-Kuan Huang
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Modeling and Reinforcement Learning-Based Control of Simultaneous Positive and Negative Pressure Generation in Pneumatic Systems AI summary
Sang Hyeon Park, Myeongyun Doh, Chanyong Park, Tuan Luong, Hyouk Ryeol Choi, Ja Choon Koo, Hugo Rodrigue, Hyungpil Moon
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Enhancing Robot Learning through Cognitive Reasoning Trajectory Optimization under Unknown Dynamics AI summary
Qingwei Dong, Tingting Wu, Peng Zeng, Chuanzhi Zang, Guangxi Wan, Shijie Cui
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RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation AI summary
Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
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Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling AI summary
Huanzhen Wang, Ziheng Zhou, Zeng Tao, Aoxing Li, Yingkai Zhao, Yuxuan Lin, Yan Wang, Wenqiang Zhang
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PinPoint3D: Fine-Grained 3D Part Segmentation from a Few Clicks AI summary
Zhengyu Lin, Zhenhong Guo, Feng Zheng,,∗
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FT-CPG: Learning Central Pattern Generators for Fault-Tolerant Quadruped Locomotion under Multi-Joint Failures AI summary
Pei Zhang, Zhaobo Hua, Qiyu Qiu, Jinliang Ding
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Motion Generation for Modular Robots Using Hierarchical Policies AI summary
Kenjiro Minamikawa, Satoshi Yamamori, Satoshi Yagi, Sho Takeda, Kazuya Yoshida, Jun Morimoto
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PMG: Parameterized Motion Generator for Human-Like Locomotion Control AI summary
Chenxi Han, Yuheng Min, Zihao Huang, Ao Hong, Hang Liu, Yi Cheng, Houde Liu
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Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning AI summary
Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu, George Mylonas, Daniel Elson
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LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control AI summary
Saurav Agarwal, Ramya Muthukrishnan, Walker Gosrich, Vijay Kumar, Alejandro Ribeiro
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Robot Crash Course: Learning Soft and Stylized Falling AI summary
Pascal Strauch, David Müller, Sammy Christen, Agon Serifi, Ruben Grandia, Espen Knoop, Moritz Bächer
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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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Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model AI summary
Kentaro Fujii, Shingo Murata
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Mash, Spread, Slice! Learning to Manipulate Object States Via Visual Spatial Progress AI summary
Priyanka Mandikal, Jiaheng Hu, Shivin Dass, Sagnik Majumder, Roberto Martín-Martín, Kristen Grauman
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Efficient and Versatile Quadrupedal Skating: Optimal Co-Design Via Reinforcement Learning and Bayesian Optimization AI summary
Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong
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Learning Forward Looking Adaptation to Dynamic Payloads for Quadruped Locomotion Via Physics-Informed Neural Networks AI summary
Oscar Youngquist, Hao Zhang
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