LabCompass

Peng Lu

Engineering · Indiana University

OpenAlex ORCID
Fault Detection and Control SystemsRobotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor NetworksRobotic Path Planning AlgorithmsAdaptive Control of Nonlinear Systems

Publications

256

Citations

3,532

Est. group size

—

Recurring co-author estimate

Active years

44

Publishing since 1983

Research summary
AI-generated

Peng Lu works in robotics and control engineering, developing methods for autonomous flying and walking robots to navigate complex, dynamic, and cluttered environments. Much of the recent work uses machine learning to teach quadruped (four-legged) robots and aerial vehicles skills like agile flight, jumping, and fall recovery, along with related work on robot perception, mapping (SLAM), and object tracking.

Aerial robotics and drone flight in dynamic environmentsLegged (quadruped) robot locomotion and learningRobot perception, SLAM, and localizationMotion planning and target trackingFault detection and control systems

Publication activity has grown substantially over the past decade, rising from a few papers per year in 2017 to roughly 26 to 38 per year in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 26.8/year recently
2017: 4 publications172018: 6 publications182019: 11 publications192020: 14 publications202021: 14 publications212022: 30 publications222023: 38 publications38232024: 26 publications242025: 36 publications252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×30
  • IEEE Robotics and Automation Letters×17
  • Journal of Guidance Control and Dynamics×3
  • Control Engineering Practice×3
  • Aerospace Science and Technology×2

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 11, 2026.

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