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ICRA 2023

1655 papers · 0 AI summaries · 2023

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152 result(s) for “scaffold reinforcement” Page 3 of 4
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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Learnable Tegotae-Based Feedback in CPGs with Sparse Observation Produces Efficient and Adaptive Locomotion
Christopher Herneth, Mitsuhiro Hayashibe, Dai Owaki
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Neural Optimal Control Using Learned System Dynamics
Kazim Selim Engin, Volkan Isler
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Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li, Haozhe Lei, Quanyan Zhu
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Low-Level Controller in Response to Changes in Quadrotor Dynamics
Jaekyung Cho, Chan Kim, Mohamed Khalid M Jaffar, Michael W. Otte, Seong-Woo Kim
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Efficient Bimanual Handover and Rearrangement Via Symmetry-Aware Actor-Critic Learning
Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu
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Occlusion-Aware Crowd Navigation Using People As Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
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Haptic-Based and SE(3)-Aware Object Insertion Using Compliant Hands
Osher Azulay, Maxim Monastirsky, Avishai Sintov
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OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors
Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne
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Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control
Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier
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M-EMBER: Tackling Long-Horizon Mobile Manipulation Via Factorized Domain Transfer
Bohan Wu, Roberto Martín-Martín, Li Fei-Fei
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Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Driggs-Campbell
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FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors
Nathaniel Simon, Allen Z. Ren, Alex Pique, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
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Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
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Safety-Constrained Policy Transfer with Successor Features
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
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Sequence-Agnostic Multi-Object Navigation
Gireesh Nandiraju, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
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Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao
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Learning Tethered Perching for Aerial Robots
Fabian Hauf, Basaran Bahadir Kocer, Hai-Nguyen (Hann) Nguyen, Oscar Kwong Fai Pang, Ronald Clark, Edward Johns, Mirko Kovac
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian Ratliff, Byron Boots, Joshua R. Smith
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Sim-To-Real Transfer for Quadrupedal Locomotion Via Terrain Transformer
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, ZHENG TIAN, Yong Yu, Jun Wang
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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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Sim-To-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model
Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li
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TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
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Learning Deposition Policies for Fused Multi-Material 3D Printing
Kang Liao, Thibault Tricard, Michal Piovarci, Hans-Peter Seidel, Vahid Babaei
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Reinforced Learning for Label-Efficient 3D Face Reconstruction
Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun
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Safety-Guaranteed Skill Discovery for Robot Manipulation Tasks
Sunin Kim, Jaewoon Kwon, Taeyoon Lee, Younghyo Park, JULIEN PEREZ
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
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Improving Robot Navigation in Crowded Environments Using Intrinsic Rewards
Diego Martinez-Baselga, Luis Riazuelo, Luis Montano
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Online Augmentation of Learned Grasp Sequence Policies for More Adaptable and Data-Efficient In-Hand Manipulation
Ethan Kroll Gordon, Rana Soltani Zarrin
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DQN-Based On-Line Path Planning Method for Automatic Navigation of Miniature Robots
Jialin JIANG, Lidong Yang, Li Zhang
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User-Conditioned Neural Control Policies for Mobile Robotics
Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
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EMS®: A Massive Computational Experiment Management System towards Data-Driven Robotics
Qinjie Lin, Guo Ye, Han Liu
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AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation
Alexander Dittrich, Jan Schneider, Simon Guist, Nico Gürtler, Heiko Ott, Thomas Steinbrenner, Bernhard Schölkopf, Dieter Büchler
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Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
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Frontier Semantic Exploration for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
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Training Efficient Controllers Via Analytic Policy Gradient
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviichuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Zhurkevich Alexander, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
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Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
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Learning to Play Table Tennis from Scratch Using Muscular Robots
Büchler, Dieter,Guist, Simon,Calandra, Roberto,Berenz, Vincent,Schölkopf, Bernhard,Peters, Jan
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Learning Perception-Aware Agile Flight in Cluttered Environments
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
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Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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