LabCompass

Ruiqi Ni

Computer Science · Purdue University West Lafayette

OpenAlex
Early career · publishing since 2018Rising activity
Robotic Path Planning AlgorithmsRobot Manipulation and LearningRobotic Mechanisms and DynamicsNeural Networks and ApplicationsReinforcement Learning in Robotics

Publications

20

Citations

128

Est. group size

~1

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Ruiqi Ni's research focuses on motion and trajectory planning for robots, including single-robot and multi-robot systems, and drones (UAVs). Recent work combines physics-informed learning (a method that builds known physical laws into machine learning models) with neural networks to make motion planning faster and more reliable, alongside earlier work on trajectory optimization and 3D shape parameterization.

Robot motion and trajectory planningMulti-robot coordinationPhysics-informed machine learningUAV (drone) trajectory generationNeural networks for planning and geometry

Publication output has grown over the last decade, rising from occasional single papers before 2021 to a more consistent 2-5 papers per year from 2021 onward.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
172018: 1 publication18192020: 1 publication202021: 4 publications212022: 2 publications222023: 2 publications232024: 3 publications242025: 5 publications5252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×10
  • Purdue×2
  • ACM Transactions on Graphics×1
  • IEEE Robotics and Automation Letters×1
  • IEEE Transactions on Robotics×1
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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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