Papers
6
Total Citations
59
H-Index
4
About
Zhang Shi is a rising roboticist whose research lies at the intersection of autonomous navigation, human-robot interaction, and bio-inspired design. His primary contributions focus on enabling mobile robots to operate reliably in challenging, GPS-denied environments. His most impactful work, "Dual-Layer Path Planning With Pose SLAM for Autonomous Exploration in GPS-Denied Environments" (28 citations), introduces a novel dual-layer planning framework that integrates local and global planners with pose SLAM to overcome the fundamental challenge of localization uncertainty. Shi has also advanced the field of shared autonomy, addressing the critical problem of over-assistance in teleoperated robots. His work on "Bidirectional Trust-Based Variable Autonomy" (12 citations) proposes a trust-based model to reconcile conflicting intents between human operators and autonomous systems, while his "Mitigating Over-Assistance" paper (2024) leverages insights from suboptimal rationality to improve user experience. In path planning, his "RA-RRTV*" algorithm (10 citations) tackles the notoriously difficult problem of navigating narrow passages under uncertainty, and his "RT-RRT" algorithm (5 citations) enables real-time replanning in unpredictable dynamic environments. Shi’s diverse portfolio also includes bio-inspired design, with work on a bird-inspired flapping wing robot, demonstrating his breadth as a researcher.
Research Focus
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