LabCompass

Zachary Kingston

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2015Rising activity

Publications

68

Citations

956

Est. group size

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

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.

Robot motion and path planningMulti-robot coordination and manipulationSampling-based and optimization-based algorithmsReal-time and hardware-accelerated planning (GPU/SIMD)Task and motion planning integration with AI/LLMs

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

Publication cadence
Publications per year over the last 10 years — averaging 9.6/year recently
2017: 1 publication172018: 3 publications182019: 2 publications192020: 3 publications202021: 6 publications212022: 3 publications222023: 8 publications232024: 10 publications242025: 14 publications14252026: 13 publications26
Recent publications
Publishes in
  • 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
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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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