James Ward

Australian Centre for Robotic Vision, UNSW Sydney

Papers

Total Citations

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About

James Ward is a pioneering researcher in autonomous robotics, with a focus on safety and motion planning in complex, unpredictable environments. His most impactful work, "Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments" (2019, 11 citations), tackles the critical challenge of ensuring robot safety even when facing malicious or unpredictable actors. This paper introduces a groundbreaking framework for provable fault avoidance, a key step toward deploying autonomous systems in real-world settings where complete environmental knowledge is impossible. Earlier, Ward laid foundational groundwork with "Free Space Mapping and Motion Planning in Configuration Space for Mobile Manipulators" (2007, 7 citations), where he inverted traditional obstacle mapping to efficiently compute collision-free regions for manipulators. This dual-problem approach significantly advanced configuration space analysis, enabling more robust motion planning for mobile manipulators. Ward’s contributions bridge theoretical guarantees and practical navigation, addressing both safety and efficiency. His work is essential reading for researchers in autonomous systems, robotics safety, and motion planning, offering rigorous solutions to the field’s most pressing challenges.