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1808 result(s) for “Model Learning for Control” Page 3 of 37
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Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force and Position-Based Robot Skills from Learning-From-Demonstration Models
Daniel Bargmann, Werner Kraus, Marco F. Huber
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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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Attitude Control of the Hydrobatic Intervention AUV Cuttlefish Using Incremental Nonlinear Dynamic Inversion
Tom Slawik, Shubham Vyas, Leif Christensen, Frank Kirchner
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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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Task-Based Design and Policy Co-Optimization for Tendon-Driven Underactuated Kinematic Chains
Sharfin Islam, Zhanpeng He, Matei Ciocarlie
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning Via MetaGradient-Based Hyperparameter Tuning
Homayoun Honari, Amir Mehdi Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control
Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception
Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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Multi-Task Adaptive Gating Network for Trajectory Distilled Control Prediction
Shoaib Azam, Ville Kyrki
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Centroidal State Estimation Based on the Koopman Embedding for Dynamic Legged Locomotion
Shahram Khorshidi, Murad Elnagdi, Maren Bennewitz
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METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Impact-Aware Planning and Control for Aerial Robots with Suspended Payloads
Haokun Wang, Haojia Li, Boyu Zhou, Fei Gao, Shaojie Shen
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Multi-Fidelity Reinforcement Learning for Minimum Energy Trajectory Planning
Luke de Castro, Gilhyun Ryou, HYUNGSEUK OHN, Sertac Karaman
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Satellite-Model-Free Deep Learning Based Pose Estimation of Non-Cooperative Satellite and Tracking Using Navigation Filter
Shubham Shukla, Raunak Srivastava, Rolif Lima, Titas Bera
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Switching Sampling Space of Model Predictive Path-Integral Controller to Balance Efficiency and Safety in 4WIDS Vehicle Navigation
Mizuho Aoki, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki
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Learned Slip-Detection-Severity Framework Using Tactile Deformation Field Feedback for Robotic Manipulation
Neel Anand Jawale, Navneet Kaur, Elizabeth Amy Santoso, Xiaohai Hu, Xu Chen
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BEV Image-Based Lane Tracking Control System for Autonomous Lane Repainting Robot
Junghyun Seo, Hyeonjae Jeon, Joonyoung Choi, Woo Kwangho, Yongseob Lim, yongsik Jin
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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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Compliant Robust Control for Robotic Insertion of Soft Bodies
Yi Liu, Andreas Verleysen, Francis wyffels
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Constrained Bootstrapped Learning for Few-Shot Robot Skill Adaptation
A K M Nadimul Haque, Fouad Sukkar, Lukas Tanz, Marc Carmichael, Teresa A. Vidal-Calleja
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Predicting Interaction Shape of Soft Continuum Robots Using Deep Visual Models
Yunqi Huang, Abdulaziz Y. Alkayas, Jialei Shi, Federico Renda, Helge Arne Wurdemann, Thomas George Thuruthel
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A Soft Robotic System Automatically Learns Precise Agile Motions without Model Information
Simon Bachhuber, Alexander Pawluchin, Arka Pal, Ivo Boblan, Thomas Seel
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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
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Object Pose Estimation by Camera Arm Control Based on Viewpoint Estimation
Tomoki Mizuno, Kazuya Yabashi, Tsuyoshi Tasaki
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3D Object Visibility Prediction in Autonomous Driving
Chuanyu Luo, Nuo Cheng, Ren Zhong, Haipeng Jiang, Wenyu Chen, Aoli Wang, Pu Li
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Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
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Multi-Uncertainty Aware Autonomous Cooperative Planning
Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu
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ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
Gokul Puthumanaillam, Manav Ketan Vora, Melkior Ornik
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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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Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter
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Neuromorphic Force-Control in an Industrial Task: Validating Energy and Latency Benefits
Camilo Amaya, Evan Eames, Gintautas Palinauskas, Alexander Clifford Perzylo, Yulia Sandamirskaya, Axel von Arnim
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Compliance Optimization Control for Rigid-Soft Hybrid System and its Application in Humanoid Robot Motion Control
Zewen He, Taiki Ishigaki, Ko Yamamoto
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Sensorimotor Attention and Language-Based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM
Kanata Suzuki, Tetsuya Ogata
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains
Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark
Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
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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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Self-Supervised Learning of Visual Robot Localization Using LED State Prediction As a Pretext Task
Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti
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Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Patricio Valencia Redrovan, Henry Williams, Yuning Xing, Trevor Gee, Minas Liarokapis, Bruce MacDonald
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Deep Reinforcement Learning-Based Large-Scale Robot Exploration
Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Adrien Sartoretti
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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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Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer
Berthold Bäuml, Ulf Kasolowsky
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LLaKey: Follow My Basic Action Instructions to Your Next Key State
Zheyi Zhao, Ying He, Fei Yu, Pengteng Li, Fan Zhuo, Xilong Sun
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Learning Dynamic Tasks on a Large-Scale Soft Robot in a Handful of Trials
Sicelukwanda Njabuliso Tunner Zwane, Daniel G. Cheney, Curtis C Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc Killpack, Marc Peter Deisenroth
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RESPRECT: Speeding-Up Multi-Fingered Grasping with Residual Reinforcement Learning
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
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