Hello, my name is Ike Obi

I am currently a Researcher (PhD Candidate) at Purdue University. Before coming to Purdue, I was a Research Engineer at the Red Lab, Indiana University. My research interests are broadly at the intersection of Neurosymbolic Reasoning, Robot Learning, Human Robot-Agent Interaction, and Safety Alignment. My long-term research goal is to build AI Agents and Robotic systems that can perceive, understand, and interact with the world by thinking about action-impact consequences. My research draws from multi-disciplinary fields to realize this goal. My work has been published in different computing venues, including NeurIPS D&B (Spotlight Paper), ICRA, IROS, CHI, CSCW, and ICSE. I have been fortunate to collaborate with both industry and government partners, including Microsoft and US EDA.

Research Updates

  • Paper accepted at IROS 2025: Modeling and Evaluating Trust Dynamics in Multi-Human Multi-Robot Task Allocation
  • Paper accepted at Robotics and Automation Letters 2025: PrefCLM: Enhancing Preference-based Reinforcement Learning with Crowdsourced LLMs
  • Paper accepted at ICRA 2025: Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Information Uncertainty
  • Pre-print 2025: SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning
  • Pre-print 2025: Multi-Agent LLM Actor-Critic Framework for Social Robot Navigation
  • Paper accepted at NeurIPS 2024 (Spotlight paper): Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets

    • Projects