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2331 result(s) for “and Learning for Soft Robots” Page 4 of 47
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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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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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Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim, Ukcheol Shin, Jung-Yup Kim
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Learning When to Ask for Help: Transferring Human Knowledge through Part-Time Demonstration
Ifueko Igbinedion, Sertac Karaman
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Stretch with Stretch: Physical Therapy Exercise Games Led by a Mobile Manipulator
Matthew Lamsey, Meredith Wells, You Liang Tan, Madeline Beatty, Zexuan Liu, Arjun Majumdar, Kendra Washington, Jerry Feldman, Naveen Kuppuswamy, Elizabeth Nguyen, Arielle Wallenstein, Charles C. Kemp, Madeleine Eve Hackney
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu
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Procedure Recognition by Knowledge-Driven Segmentation in Robotic-Assisted Vitreoretinal Surgery
Zhen Li, Yawen Deng, Qiang Ye, Weihong Yu, Haoxiang Qi, Yaliang Liu, Zhangguo YU, Gui-Bin Bian
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Learning Vision-Based Bipedal Locomotion for Challenging Terrain
Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern
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Learning Failure Prevention Skills for Safe Robot Manipulation
Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel
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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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Intraoperatively Iterative Hough Transform Based In-Plane Hybrid Control of Arterial Robotic Ultrasound for Magnetic Catheterization
Zhengyang Li, Magejiang Yeerbulati, Qingsong Xu
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MuRoSim � a Fast and Efficient Multi-Robot Simulation for Learning-based Navigation
Christian Jestel, Karol Rösner, Niklas Dietz, Nicolas Bach, Julian Eßer, Jan Finke, Oliver Urbann
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Kalman Filter-Based One-Shot Sim-To-Real Transfer Learning
dongqingwei dongqingwei, Peng Zeng, Guangxi Wan, Yunpeng He, Xiaoting Dong
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C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems
Hongda Jia, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang
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Perching and Grasping Using a Passive Dynamic Bioinspired Gripper
Amir Firouzeh, Jongeun Lee, Hyunsoo Yang, Dongjun Lee, Kyu-Jin Cho
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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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Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning
Naoki Morihira, Pranav Deo, Manoj Bhadu, Akinobu Hayashi, Tadaaki Hasegawa, Satoshi Otsubo, Takayuki Osa
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RainbowSight: A Family of Generalizable, Curved, Camera-Based Tactile Sensors for Shape Reconstruction
Megha Tippur, Edward Adelson
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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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Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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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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Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, zfw1993 Fangwei Zhong, Aaron Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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Enhancing Visual Inertial SLAM with Magnetic Measurements
Bharat Joshi, Ioannis Rekleitis
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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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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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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman, Brian Plancher
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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GelFinger: A Novel Visual-Tactile Sensor with Multi-Angle Tactile Image Stitching
Zhonglin Lin, JiaQuan Zhuang, Yufeng Li, Xianyu Wu, SHAN LUO, Daniel Fernandes Gomes, Feng Huang, Zheng Yang
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Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Xingyao Han, Siyuan Chen, Xinye Xiong, Qiming Liu, Shunbo Zhou, Heng Zhang, Zhe Liu
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A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian
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A Modular, Tendon Driven Variable Stiffness Manipulator with Internal Routing for Improved Stability and Increased Payload Capacity
Kyle Liam Walker, Alix James Partridge, Hsing-Yu Chen, Rahul Ramakrishnan Ramachandran, Adam Andrew Stokes, Kenjiro Tadakuma, Lucas Cruz da SIlva, Francesco Giorgio-Serchi
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Residual-NeRF : Learning Residual NeRFs for Transparent Object Manipulation
Bart Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski
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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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Shape-Conformable Suction Cups with Controllable Adaptive Suction on Complex Surfaces
Tianqi Yue, Hermes Bloomfield-Gadelha, Jonathan Rossiter
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Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations Via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
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Lifelong Robot Learning with Human Assisted Language Planners
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal
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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martín-Martín, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, Alex Bewley
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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Reinforcement Learning for Freeform Robot Design
Muhan Li, David Matthews, Sam Kriegman
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Stimulate the Potential of Robots Via Competition
Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu
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Dynamic Coalition Formation and Routing for Multirobot Task Allocation Via Reinforcement Learning
Weiheng Dai, Aditya Bidwai, Guillaume Adrien Sartoretti
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Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds
Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, amirreza payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
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Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
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Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
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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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Increasing the Absolute Position Accuracy of Industrial Robots by Means of a Deep Continual Evidential Regression Model
Eckart Uhlmann, Mitchel Polte, Julian Blumberg, Sheng Yin, Gang Wang
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