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1576 result(s) for “Safety in HRI” Page 1 of 32
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Computational Model of Robot Trust in Human Co-Worker for Physical Human-Robot Collaboration
Wang, Qiao,Liu, Dikai,Carmichael, Marc,Aldini, Stefano,Lin, Chin-Teng
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A Gaze-Speech System in Mixed Reality for Human-Robot Interaction
John David Prieto Prada, Myung Ho Lee, Cheol Song
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TOP-JAM: A Bio-Inspired Topology-Based Model of Joint Attention for Human-Robot Interaction
Hendry Chame, Aurélie Clodic, Rachid Alami
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SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search
Jeongwoo Oh, Jae Seok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh
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Ex(plainable) Machina: How Social-Implicit XAI Affects Complex Human-Robot Teaming Tasks
Marco Matarese, Francesca Cocchella, Francesco Rea, Alessandra Sciutti
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Robot Person Following under Partial Occlusion
Hanjing Ye, Jieting Zhao, Yaling Pan, Weinan Chen, Li He, Hong Zhang
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Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Javier Borquez, Somil Bansal, Kensuke Nakamura
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Analysing the Safety and Security of a UV-C Disinfection Robot
Desiana Nurchalifah, Sebastian Blumenthal, Luigi Lo Iacono, Nico Hochgeschwender
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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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Safety Evaluation of Robot Systems via Uncertainty Quantification
Woo-Jeong Baek, Torsten Kroeger
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Safety-Constrained Policy Transfer with Successor Features
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
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Safety under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil Prokhorov, Dimitra Panagou
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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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Safety-Critical Ergodic Exploration in Cluttered Environments Via Control Barrier Functions
Cameron Lerch, Dayi, E Dong, Ian Abraham
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Differential Dynamic Programming with Nonlinear Safety Constraints under System Uncertainties
Gokhan Alcan, Ville Kyrki
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A Hybrid Quadratic Programming Framework for Real-Time Embedded Safety-Critical Control
Ryan Bena, Sushmit Hossain, Buyun Chen, Wei Wu, Quan Nguyen
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Enforcing Safety for Vision-Based Controllers Via Control Barrier Functions and Neural Radiance Fields
Mukun Tong, Charles Dawson, Chuchu Fan
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Testing Rare Downstream Safety Violations Via Upstream Adaptive Sampling of Perception Error Models
Craig Innes, Subramanian Ramamoorthy
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Safety and Efficiency in Robotics: The Control Barrier Functions Approach
Federica Ferraguti, Chiara Talignani Landi, Andrew Singletary, Hsien-Chung Lin, Aaron Ames, Cristian Secchi, Marcello Bonfe
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Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
Craig Knuth, Glen Chou, Jamie Reese, Joseph Moore
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Human Non-Compliance with Robot Spatial Ownership Communicated Via Augmented Reality: Implications for Human-Robot Teaming Safety
Christine T Chang, Matthew Luebbers, Mitchell Hebert, Bradley Hayes
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Dynamic Control Barrier Function-Based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot
Zhuozhu Jian, Zihong Yan, Xuanang Lei, Zihong Lu, Bin Lan, xueqian WANG, Bin Liang
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Safety-Critical Controller Verification Via Sim2Real Gap Quantification
Prithvi Akella, Wyatt Ubellacker, Aaron Ames
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DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-Class Labels for Safety-Aware Trajectory Optimization
Yuheng Zhi, Nikhil Das, Michael C. Yip
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RAST: Risk-Aware Spatio-Temporal Safety Corridors for MAV Navigation in Dynamic Uncertain Environments
Gang Chen, Siyuan Wu, Moji Shi, Wei Dong, Hai Zhu, Javier Alonso-Mora
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Generating Formal Safety Assurances for High-Dimensional Reachability
Albert Lin, Somil Bansal
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Data-Driven Optimal Control under Safety Constraints Using Sparse Koopman Approximation
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Online Update of Safety Assurances Using Confidence-Based Predictions
Kensuke Nakamura, Somil Bansal
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Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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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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Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
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Safe Control using Vision-based Control Barrier Function (V-CBF)
Hossein Abdi, Golnaz Raja, Reza Ghabcheloo
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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
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Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging
Soumith Udatha, Yiwei Lyu, John M. Dolan
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GPF-BG: A Hierarchical Vision-Based Planning Framework for Safe Quadrupedal Navigation
Shiyu Feng, Ziyi Zhou, Justin Smith, Maxwell Asselmeier, Ye Zhao, Patricio Vela
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Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments
Khaled Alaaeldin Abdelfattah Mustafa, Oscar de Groot, Xinwei Wang, Jens Kober, Javier Alonso-Mora
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The Human Gaze Helps Robots Run Bravely and Efficiently in Crowds
Qianyi Zhang, Zhengxi Hu, Yinuo Song, Jiayi Pei, Jingtai Liu
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Safe and Distributed Multi-Agent Motion Planning under Minimum Speed Constraints
Inkyu Jang, Jungwon Park, H. Jin Kim
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Risk-Aware Neural Navigation from BEV Input for Interactive Driving
Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus
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Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren
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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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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
Stefano Pini, Christian Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko
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ResiPlan: Closing the Planning-Acting Loop for Safe Underwater Navigation
Marios Xanthidis, Eleni Kelasidi, Kostas Alexis
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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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Towards Safe Remote Manipulation: User Command Adjustment Based on Risk Prediction for Dynamic Obstacles
Mincheul Kang, Minsung Yoon, Sung-eui Yoon
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Hierarchical Policy Blending As Inference for Reactive Robot Control
Kay Hansel, Julen Urain De Jesus, Jan Peters, Georgia Chalvatzaki
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Predictive Runtime Verification of Skill-Based Robotic Systems Using Petri Nets
Baptiste Pelletier, Charles Lesire, Christophe Grand, David Doose, Mathieu ROGNANT
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