Scholar
Zachary Kingston
Google Scholar ID: PqcZ56cAAAAJ
Assistant Professor of Computer Science, Purdue University
Citations & Impact
Citations
1,252
H-index
15
i10-index
18
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Using VLM Reasoning to Constrain Task and Motion Planning' (Yan, Muyang et al., 2025); 'Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners' (Sabbadini, Mitchell E. C. et al., 2025). Funded by a NASA Space Technology Research Fellowship during Ph.D. studies.
Research Experience
- Worked with the Robonaut 2 team within the Software, Robotics, and Simulation Division at NASA Johnson Space Center; currently an Assistant Professor in the Computer Science Department at Purdue University, leading the CoMMA Lab; Associate Editor for IEEE Robotics and Automation Letters under Planning and Simulation; current maintainer of the Open Motion Planning Library.
Education
- Master's, doctoral, and postdoctoral studies completed at Rice University in the Computer Science Department under Dr. Lydia E. Kavraki. Research focused on manifold-constrained motion planning and long-horizon multi-modal motion planning.
Background
- Research interests: algorithms, methods, and software for complex robots to make decisions and find feasible or optimal motions to achieve task objectives safely in the world; techniques that generalize and apply to any robotic system, constraint, or environment; the intersection between the theory and practice of robotics algorithms, finding where software engineering, hardware acceleration, and intelligent algorithm design can synergize to create a whole greater than the sum of its parts.
