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907 result(s) for “Visual Learning” Page 11 of 19
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Symmetry-Aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Nguyen Hai, Tadashi Kozuno, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling
Williard Joshua Jose, Hao Zhang
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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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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar
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Your Room Is Not Private: Gradient Inversion Attack on Reinforcement Learning
Miao Li, Wenhao Ding, Ding Zhao
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Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control
Peiyang Jiang, Wei Li, Yifan Li, Dandan Zhang
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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving with Model Predictive Path Integral Control
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee
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Measuring Ball Joint Faults in Parabolic-Trough Solar Plants with Data Augmentation and Deep Learning
Miguel Angel Pérez Cutiño, Jesus Capitan, José-Miguel Díaz-Báñez, Juan Valverde
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The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
Hugues THOMAS, Jian Zhang, Timothy Barfoot
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A User-Centered Shared Control Scheme with Learning from Demonstration for Robotic Surgery
Haoyi Zheng, Zhaoyang Jacopo Hu, yanpei huang, Xiaoxiao Cheng, Ziwei Wang, etienne burdet
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Efficient Composite Learning Robot Control under Partial Interval Excitation
Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
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MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity
Hojun Chung, Jeongwoo Oh, Jae Seok Heo, Gunmin Lee, Songhwai Oh
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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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Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun, Yongcai Wang, Wang Chen, Haoran Deng, Deying Li
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Towards Human-Robot Collaborative Surgery: Trajectory and Strategy Learning in Bimanual Peg Transfer
Zhaoyang Jacopo Hu, Ziwei Wang, yanpei huang, Aran Sena, Ferdinando Rodriguez y Baena, etienne burdet
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Learning-Based Efficient Phase-Amplitude Modulation and Hybrid Control for MRI-Guided Focused Ultrasound Treatment
JING DAI, Bohao Zhu, Xiaomei WANG, Zhiyi Jiang, Mengjie Wu, Liyuan Liang, Xiaochen Xie, James Lam, Hing-Chiu Chang, Ka-Wai Kwok
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Learning Agile Bipedal Motions on a Quadrupedal Robot
Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
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AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
Hongjie Fang, Hao-Shu Fang, Yiming Wang, Jieji Ren, Jingjing Chen, ruo zhang, Weiming Wang, Cewu Lu
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Learning Generalizable Patrolling Strategies through Domain Randomization of Attacker Behaviors
Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin
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Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning
Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani
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Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-To-End
Chong Zhang, Jin Jin, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena Lerma, Marco Hutter
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HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyun Soo Park
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Few-Shot Learning of Force-Based Motions from Demonstration through Pre-Training of Haptic Representation
Marina Y. Aoyama, Joao Moura, Namiko Saito, Sethu Vijayakumar
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu
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Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
Cai Mingyu, Karankumar Patel, Soshi Iba, Songpo Li
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
xiao zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao
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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman, Brian Plancher
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Multi-Task Learning for Real-Time Autonomous Driving Leveraging Task-Adaptive Attention Generator
Wonhyeok Choi, Mingyu Shin, HYUKZAE LEE, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
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Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
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Learning to Catch Reactive Objects with a Behavior Predictor
Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
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A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
Neil Janwani, Ersin Das, Thomas Touma, Skylar Wei, Tamas G. Molnar, Joel Burdick
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Deep Learning Based 6-DoF Antipodal Grasp Planning from Point Cloud in Random Bin-Picking Task Using Single-View
Tat Hieu Bui, Yeong Gwang Son, Seung Jae moon, Quang Huy Nguyen, Issac Rhee, Juyong Hong, Hyouk Ryeol Choi
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Perception-And-Energy-Aware Motion Planning for UAV Using Learning-Based Model under Heteroscedastic Uncertainty
Reiya Takemura, Genya Ishigami
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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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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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Towards Learning-Based Planning: The nuPlan Benchmark for Real-World Autonomous Driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, Holger Caesar
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