LabCompass

Ruiqi Wang

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2005Rising activity

Publications

15

Citations

131

Est. group size

~1

Recurring co-author estimate

Active years

21

Publishing since 2005

Research summary
AI-generated

Ruiqi Wang's recent work focuses on how humans and robots can work together in teams, including how robots learn from human preferences and how tasks get allocated among multiple humans and robots. Some earlier and tangential work also touches on machine learning applied to construction materials and reliability prediction in mechanical systems. Most of the recent, concentrated output centers on reinforcement learning and coordination methods for human-robot teams.

Human-robot interaction and teamingReinforcement learning (including preference-based learning)Multi-robot task allocationRobotics and automation safetyApplied machine learning (materials science applications)

Publication output was sparse and irregular from 2017-2023 (0-1 papers most years) but increased sharply in 2024-2025, suggesting a recent growth phase in research activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
17182019: 1 publication19202021: 1 publication2122232024: 8 publications8242025: 3 publications2526
Publishes in
  • arXiv (Cornell University)×4
  • IEEE Robotics and Automation Letters×2
  • IEEE Transactions on Cognitive and Developmental Systems×1
  • Materials×1
  • Case Studies in Construction Materials×1
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By research-topic overlap
  • Dezhong Zhao

    Computer Science · Purdue University West Lafayette

  • Junhong Xu

    Computer Science · Indiana University

  • Junhong Xu

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  • Jianwen Li

    Computer Science · Purdue University West Lafayette

  • Zikang Xiong

    Computer Science · Purdue University West Lafayette

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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