LabCompass

Zikang Xiong

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2019Rising activity
Reinforcement Learning in RoboticsRobotic Path Planning AlgorithmsAdversarial Robustness in Machine LearningFormal Methods in VerificationRobot Manipulation and Learning

Publications

14

Citations

26

Est. group size

~2

Recurring co-author estimate

Active years

7

Publishing since 2019

Research summary
AI-generated

Zikang Xiong's research centers on making robots and AI-controlled systems behave safely and reliably, drawing on reinforcement learning (a method where systems learn by trial and error), robotic motion planning, and formal verification (mathematically proving software behaves correctly). Their work also touches on adversarial robustness, which studies how machine learning systems can be fooled or made more resistant to manipulation. The publication record is limited and comes primarily from bibliographic topic data rather than a large body of listed papers.

Reinforcement learning for roboticsRobot motion and path planningAdversarial robustness in machine learningFormal verification methodsRobot manipulation and learning

Publication output has been modest but has grown somewhat since 2021, averaging just over two papers per year in the last five years after an inactive period earlier in the decade.

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: 2 publications19202021: 1 publication212022: 3 publications3222023: 2 publications232024: 3 publications3242025: 3 publications32526
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • IEEE Robotics and Automation Letters×2
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)×1
  • Lecture notes in computer science×1
  • Artifact Digital Object Group×1
Similar researchers
By research-topic overlap

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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