LabCompass

Quan Khanh Luu

Engineering · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

26

Citations

175

Est. group size

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Quan Khanh Luu works on robotics, focusing on how robots can sense and respond to touch, proximity, and physical contact with people or objects. Their work combines soft robotic materials, vision-based tactile sensors, and machine learning to help robots grip objects safely, detect collisions, and interact more safely and comfortably with humans. Applications include soft grippers inspired by elephant trunks, sensor-equipped robot arms and skins, and drones that can tolerate collisions.

Tactile and proximity sensing for robotsSoft robotics and grippersHuman-robot interaction and safetyVision-based sensing methodsRobot manipulation and learning

Publication output was minimal before 2020 but has grown substantially since 2022, with activity accelerating markedly in 2024–2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
1718192020: 1 publication202021: 1 publication212022: 4 publications222023: 2 publications232024: 6 publications242025: 5 publications252026: 7 publications726
Recent publications
Publishes in
  • arXiv (Cornell University)×9
  • IEEE Transactions on Robotics×4
  • IEEE Robotics and Automation Letters×2
  • Lecture notes in business information processing×1
  • IEEE Access×1
Similar researchers
By research-topic overlap
  • Sheeraz Athar

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  • Min Ku Kim

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  • Shujia Xu

    Engineering · Purdue University West Lafayette

  • Pengfei Deng

    Engineering · 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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