LabCompass

Junhong Xu

Computer Science · Indiana University

OpenAlex
Reinforcement Learning in RoboticsMulti-Agent Systems and NegotiationRobotic Path Planning AlgorithmsAuction Theory and ApplicationsSARS-CoV-2 and COVID-19 Research

Publications

24

Citations

68

Est. group size

—

Recurring co-author estimate

Active years

21

Publishing since 2005

Research summary
AI-generated

Junhong Xu works in robotics and machine learning, focusing on how robots can plan movements and make decisions in uncertain, unstructured environments. Recent work applies reinforcement learning (a method where systems learn by trial and error) and causal inference (methods to distinguish cause from correlation) to problems like autonomous navigation and motion estimation from robot sensor data.

Reinforcement learning for roboticsRobotic path planning and navigationCausal inference for motion estimationMarkov decision processesData-efficient learning methods

Publication activity began around 2021, peaked in 2023, and has been more modest in recent years, averaging about three publications per year over the last five 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 3.0/year recently
171819202021: 2 publications212022: 3 publications222023: 8 publications8232024: 3 publications242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • Frontiers in Immunology×2
  • Machines×1
  • Journal of Cardiovascular Medicine×1
  • Infection and Drug Resistance×1

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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