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1651 result(s) for “and Learning for Soft Robots” Page 3 of 34
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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Design and Control of a Tunable-Stiffness Coiled-Spring Actuator
Shivangi Misra, Mason Mitchell, Rongqian Chen, Cynthia Sung
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
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MagTac: Magnetic Six-Axis Force/Torque Fingertip Tactile Sensor for Robotic Hand Applications
Sungwoo Park, Sang-Rok Oh, Donghyun Hwang
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A Fast Geometric Framework for Dynamic Cosserat Rods with Discrete Actuated Joints
Hossain Samei, Robin Chhabra
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Concept Design of a New XY Compliant Parallel Manipulator with Spatial Configuration
Zekui Lyu, Qingsong Xu
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Velocity Following Control of a Pseudo-Driven Wheel for Reducing Internal Forces between Wheels
Huanan Qi, Liang Ding, Bo You, Lan Huang, Xin An, Shu Li, Guangjun Liu
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On the Learned Balance Manifold of Underactuated Balance Robots
Feng Han, Jingang Yi
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Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
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Concentration of Measure Phenomenon and Its Implications for Sample-Based Planning Algorithms in Very-High Dimensional Configuration Spaces
Joel Esposito
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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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Tumbling Robot Control Using Reinforcement Learning
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos
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Reinforcement Learning for Safe Robot Control Using Control Lyapunov Barrier Functions
Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Robotic Fiber Threading from a Gel-Like Substance Based on Impedance Control with Force Tracking
Houari Bettahar, P. A. Diluka Harischandra, Quan Zhou
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Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Jinda Cui, Jiawei Xu, David Saldaña, Jeff Trinkle
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Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat
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Bioinspired Tearing Manipulation with a Robotic Fish
Stanley Wang, Juan Romero, Monica Li, Peter Wainwright, Hannah Stuart
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Passive Robotic Gripper Using a Contact-Based Locking Mechanism
Issei NATE, Zhongkui Wang, Shinichi Hirai
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Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception
Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg
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Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel Brown
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Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot
Damian Sójka, Michal Ryszard Nowicki, Piotr Skrzypczynski
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Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments
Astghik Hakobyan, Insoon Yang
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Efficient Planning of Multi-Robot Collective Transport Using Graph Reinforcement Learning with Higher Order Topological Abstraction
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia Gel, Souma Chowdhury
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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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UDepth: Fast Monocular Depth Estimation for Visually-Guided Underwater Robots
Boxiao Yu, Jiayi Wu, Md Jahidul Islam
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GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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Inverted Landing in a Small Aerial Robot Via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
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Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, J.W Grizzle, Jeffrey Walls, Ayoung Kim, Ryan Eustice, Maani Ghaffari
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GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine
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Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration
Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari
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GANet: Goal Area Network for Motion Forecasting
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, WENJING YANG
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Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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A Social Referencing Disambiguation Framework for Domestic Service Robots
Kevin Fan, Melanie Jouaiti, Ali Noormohammadi-Asl, Kerstin Dautenhahn, Chrystopher Nehaniv
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Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation
Cem Gokmen, Mohi Khansari, Daniel Ho
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Source-Free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather
Deepti Hegde, Velat Kilic, Vishwanath Sindagi, A. Brinton Cooper, Mark Foster, Vishal M. Patel
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Congestion Prediction for Large Fleets of Mobile Robots
Ge Yu, Michael Wolf
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Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator
Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi
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Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
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Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
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