惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

The Cloudflare Blog
U
Unit 42
F
Fortinet All Blogs
雷峰网
雷峰网
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
Y
Y Combinator Blog
罗磊的独立博客
V
Visual Studio Blog
大猫的无限游戏
大猫的无限游戏
J
Java Code Geeks
量子位
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
爱范儿
爱范儿
B
Blog RSS Feed
aimingoo的专栏
aimingoo的专栏
有赞技术团队
有赞技术团队
T
Tailwind CSS Blog
Microsoft Security Blog
Microsoft Security Blog
L
LangChain Blog
I
InfoQ
博客园 - 叶小钗
博客园 - 聂微东
Last Week in AI
Last Week in AI

cs.RO updates on arXiv.org

FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs SENSE: Stereo OpEN Vocabulary SEmantic Segmentation Continual Hand-Eye Calibration for Open-world Robotic Manipulation PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities R3D: Revisiting 3D Policy Learning Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning HRDexDB: A Large-Scale Dataset of Dexterous Human and Robotic Hand Grasps ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management Efficient closed-form approaches for pose estimation using Sylvester forms World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning CooperDrive: Enhancing Driving Decisions Through Cooperative Perception SpaceMind: A Modular and Self-Evolving Embodied Vision-Language Agent Framework for Autonomous On-orbit Servicing HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning Failure Identification in Imitation Learning Via Statistical and Semantic Filtering A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization
IEEE Trust, Acceptance and Social Cues in Human-Robot Int...
Alessandra Rossi, Patrick Holthaus, Sìlvia Moros, Gabriella Laka · 2022-08-22 · via cs.RO updates on arXiv.org

The Trust, Acceptance and Social Cues in Human-Robot Interaction - SCRITA is the 5th edition of a series of workshops held in conjunction with the IEEE RO-MAN conference. This workshop focuses on addressing the challenges and development of the dynamics between people and robots in order to foster short interactions and long-lasting relationships in different fields, from educational, service, collaborative, companion, care-home and medical robotics. In particular, we aimed in investigating how robots can manipulate (i.e. creating, improving, and recovering) people's ability of accepting and trusting them for a fruitful and successful coexistence between humans and people. While advanced progresses are reached in studying and evaluating the factors affecting acceptance and trust of people in robots in controlled or short-term (repeated interactions) setting, developing service and personal robots, that are accepted and trusted by people where the supervision of operators is not possible, still presents an open challenge for scientists in robotics, AI and HRI fields. In such unstructured static and dynamic human-centred environments scenarios, robots should be able to learn and adapt their behaviours to the situational context, but also to people's prior experiences and learned associations, their expectations, and their and the robot's ability to predict and understand each other's behaviours. Although the previous editions valued the participation of leading researchers in the field and several exceptional invited speakers who tackled down some fundamental points in this research domains, we wish to continue to further explore the role of trust in robotics to present groundbreaking research to effectively design and develop socially acceptable and trustable robots to be deployed "in the wild". Website: https://scrita.herts.ac.uk