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1091 result(s) for “Human Performance Augmentation” Page 2 of 22
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A Time-Optimal Energy Planner for Safe Human-Robot Collaboration
Andrea Pupa, Marco Minelli, Cristian Secchi
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Benchmarking Multi-Robot Coordination in Realistic, Unstructured Human-Shared Environments
Lukas Heuer, Luigi Palmieri, Anna Mannucci, Sven Koenig, Martin Magnusson
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Nonlinear Subsystem-Based Adaptive Impedance Control of Physical Human-Robot-Environment Interaction in Contact-Rich Tasks
Mahdi Hejrati, Jouni Mattila
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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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The Joint-Space Reconstruction of Human Fingers by Using a Highly Under-Actuated Exoskeleton
Yuan Su, Gaofeng Li, Yongsheng Deng, Ioannis Sarakoglou, Nikos Tsagarakis, Jiming Chen
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ToP-ToM: Trust-Aware Robot Policy with Theory of Mind
Chuang Yu, Baris Serhan, Angelo Cangelosi
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Multi-Modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer
Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu
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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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Digital Robot Judge (DR.J): Building a Task-Centric Performance Database of Real-World Manipulation with Electronic Task Boards
Peter So, Andriy Sarabakha, Fan Wu, Utku Culha, Fares Abu-Dakka, Sami Haddadin
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Towards Robo-Coach: Robot Interactive Stiffness/Position Adaptation for Human Strength and Conditioning Training
Chenzui Li, Xi Wu, Tao Teng, Sylvain Calinon, Fei Chen
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LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Dongqiangzi Ye, Yufei Xie, Weijia Chen, Zixiang Zhou, Lingting Ge, Hassan Foroosh
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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Jacquard V2: Refining Datasets Using the Human in the Loop Data Correction Method
Qiuhao Li, Shenghai Yuan
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Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems
Davide Torielli, Leonardo Franco, Maria Pozzi, Luca Muratore, Monica Malvezzi, Nikos Tsagarakis, Domenico Prattichizzo
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Distilling and Retrieving Generalizable Knowledge for Robot Manipulation Via Language Corrections
Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh
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Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning
Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji
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Efficient ISO/TS 15066 Compliance through Model Predictive Control
Andrea Pupa, Cristian Secchi
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Probabilistic Motion Planning and Prediction Via Partitioned Scenario Replay
Oscar de Groot, Anish Sridharan, Javier Alonso-Mora, Laura Ferranti
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Learning to Grasp in Clutter with Interactive Visual Failure Prediction
Michael Murray, Abhishek Gupta, Maya Cakmak
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HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation
Noe Perez-Higueras, Roberto Otero, Fernando Caballero, Luis Merino
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Integrated Data-Driven Inference and Planning-Based Human Motion Prediction for Safe Human-Robot Interaction
Youngim Nam, Cheolhyeon Kwon
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WARABI Hand: Five-Fingered Robotic Hand with Flexible Skin and Force Sensors for Social Interaction
Aoi Nakane, Iori Yanokura, Shun Hasegawa, Naoya Yamaguchi, Kunio Kojima, Kei Okada, Masayuki Inaba
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Moving Horizon Estimation of Human Kinematics and Muscle Forces
Amedeo Ceglia, François Bailly, Mickael Begon
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Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm, Felix Trost, Matthias Althoff
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Self-Supervised 6-DoF Robot Grasping by Demonstration Via Augmented Reality Teleoperation System
Xiwen Dengxiong, Xueting Wang, Shi Bai, Yunbo Zhang
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Transformer-Based Prediction of Human Motions and Contact Forces for Physical Human-Robot Interaction
Alessia Fusco, Valerio Modugno, Dimitrios Kanoulas, Alessandro Rizzo, Marco Cognetti
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InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
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GG-LLM: Geometrically Grounding Large Language Models for Zero-Shot Human Activity Forecasting in Human-Aware Task Planning
Moritz A. Graule, Volkan Isler
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Towards Unified Interactive Visual Grounding in the Wild
Jie Xu, Hanbo Zhang, Qingyi Si, Yifeng Li, Xuguang Lan, Tao Kong
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Human-Robot Complementary Collaboration for Flexible and Precision Assembly
Shichen Cao, Jing Xiao
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Towards Enhanced Human Activity Recognition for Real-World Human-Robot Collaboration
Beril Yalcinkaya, Micael Couceiro, Lucas Pina, Salviano Soares, António Valente, Fabio Remondino
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Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation
Chenhui Zuo, Kaibo He, Jing Shao, Yanan Sui
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Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling
Nathan Ludlow, Yiwei Lyu, John M. Dolan
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Comparison of Rating Scale and Pairwise Comparison Methods for Measuring Human Co-Worker Subjective Impression of Robot During Physical Human-Robot Collaboration
Qiao Wang, Ziqi Wang, Marc Carmichael, Dikai Liu, Chin-Teng Lin
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Commonsense Spatial Knowledge-Aware 3-D Human Motion and Object Interaction Prediction
Sang Uk Lee
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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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Aerial Physical Human Robot Interaction for Payload Transportation
Pratik Prajapati, Vineet Vashista
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Towards Enhanced Stability of Human Stance with a Supernumerary Robotic Tail
Sajeeva Abeywardena, Ildar Farkhatdinov
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Proactive Robot Control for Collaborative Manipulation Using Human Intent
Zhanibek Rysbek, Siyu Li, Afagh Mehri Shervedani, Milos Zefran
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Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment
Zhenyang Lin, Yurou Chen, Zhiyong Liu
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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Towards Proactive Safe Human-Robot Collaborations Via Data-Efficient Conditional Behavior Prediction
Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
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SynH2R: Synthesizing Hand-Object Motions for Learning Human-To-Robot Handovers
Sammy Christen, Lan Feng, Wei Yang, Yu-Wei Chao, Otmar Hilliges, Jie Song
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Synchronized Human-Humanoid Motion Imitation
Antonin Dallard, Mehdi Benallegue, Fumio Kanehiro, Abderrahmane Kheddar
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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Kinematic Synergy Primitives for Human-Like Grasp Motion Generation
Julia Starke, Tamim Asfour
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A Study of Shared-Control with Bilateral Feedback for Obstacle Avoidance in Whole-Body Telelocomotion of a Wheeled Humanoid
DongHoon Baek, Yu-Chen (Johnny) Chang, Joao Ramos
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Shared Autonomy Via Variable Impedance Control and Virtual Potential Fields for Encoding Human Demonstrations
Shail Jadav, Johannes Heidersberger, Christian Ott, Dongheui Lee
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Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning
Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas
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Lightweight Human-Friendly Robotic Arm Based on Transparent Hydrostatic Transmissions
Marco Bolignari, Gianluca Rizzello, Luca Zaccarian, Marco Fontana
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