Trust-based Human-Robot Collaboration (HRC) for High-Level Distributed Multi-Robot Motion Planning with TemporalLogic Constraints

Abstract

The research objective is to synthesize scalable, adaptive, and verifiably correct symbolic motion plans for human-robot collaboration (HRC) systems by embedding trust analysis. The focus is on quantitative trust estimate, distributed multi-robot symbolic motion planning, and verifiably correct HRC for real-time robotic operations in intelligence, surveillance and reconnaissance (ISR) missions.

Document Details

• Document Type: DoD Grant Award
• Publication Date: Feb 06, 2017
• Source ID: FA95501710050

Entities

People

• Yue Wang

Organizations

• Air Force Office of Scientific Research
• Clemson University
• United States Air Force

Tags

Fields of Study

• Computer science

Readers

• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Computer Vision.
• Data Mining and Knowledge Discovery.

Technology Areas

• AI & ML
• AI & ML - Autonomous Systems
• Autonomy
• Autonomy - Autonomous System Control
• Autonomy - Human-Robot Interaction
• Autonomy - UAVs