Zachary Kingston
Computer Science · Purdue University West Lafayette
Publications
68
Citations
956
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Zachary Kingston works on robot motion planning, developing algorithms that let robots (including multi-robot systems and manipulators) figure out how to move efficiently, quickly, and reliably while respecting physical constraints like collision avoidance, joint limits, and task requirements. His work spans theoretical algorithm design (e.g., asymptotically optimal planners), hardware-accelerated implementations (using GPUs and vectorized computing for speed), and open-source software tools used broadly in robotics research.
Publication output has grown substantially over the last decade, rising from just 1 paper in 2017 to over a dozen per year by 2025-2026, with a recent average of about 9.6 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation
IEEE Robotics and Automation Letters · 2026
- One-shot view planning and online optimization-based replanning for unknown object reconstruction
ORCA Online Research @Cardiff (Cardiff University) · 2026
- Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness
arXiv (Cornell University) · 2026
- Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness
arXiv (Cornell University) · 2026
- Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control
arXiv (Cornell University) · 2026
- Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control
arXiv (Cornell University) · 2026
- The Open Motion Planning Library 2.0
arXiv (Cornell University) · 2026
- The Open Motion Planning Library 2.0
arXiv (Cornell University) · 2026
- Think fast and far: Long-horizon online POMDP planning via rapid state sampling
The International Journal of Robotics Research · 2026
- AORRTC: Almost-Surely Asymptotically Optimal Planning With RRT-Connect
IEEE Robotics and Automation Letters · 2025
- CaStL: Constraints as Specifications Through Llm Translation for Long-Horizon Task and Motion Planning
2025
- Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*)
2025
- Underwater Multi-Robot Simulation and Motion Planning in Angler
2025
- Constrained Nonlinear Kaczmarz Projection on Intersections of Manifolds for Coordinated Multi-Robot Mobile Manipulation
2025
- AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect
arXiv (Cornell University) · 2025
- arXiv (Cornell University)×27
- IEEE Robotics and Automation Letters×5
- The International Journal of Robotics Research×4
- Springer proceedings in advanced robotics×2
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)×2
- Ahmed H. Qureshi
Computer Science · Purdue University West Lafayette
- Ruiqi Ni
Computer Science · Purdue University West Lafayette
- Ayanna Howard
Computer Science · The Ohio State University
- Lantao Liu
Computer Science · Indiana University
- Weizhe Chen
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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