News

May 16, 2025: Dr. Zha delivered a keynote talk at the NSF Data Science Symposium, hosted by North Carolina A&T State University. Talk Title: Embodied and Human-Aligned Intelligence across Air, Water, and Land: From Simulation to Data-Efficient Learning

Feb 7, 2025: William Yang and Dr. Zha were interviewed by the University of Maryland about our Aerial-Aquatic Manipulators project.

Dec 2, 2024: Our paper “NatSGLD: A Dataset with Speech, Gestures, Logic, and Demonstrations for Robot Learning in Natural Human-Robot Interaction” is accepted by HRI-25.

Aug 22, 2024: Dr. Zha gave a faculty talk at the Maryland Research Day event.

July 10, 2024: Our paper “Task Success” is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors is accepted by COLM-24.

July 3, 2024: Dr. Zha gave an invited talk at the Robotics Institute at Carnegie Mellon University: “Cognitively-Enhanced Robotic Manipulation across Sea, Air, and Land” .

May 23, 2024: Dr. Zha delivered a faculty talk at the Maryland Robotics Center Research Symposium 2024. Watch the talk here: Video.

Dec 9, 2023: Our paper Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning is accepted by AAAI-24 Main Track. Thanks to my collaborators!

July 2023: Excited to announce our workshop Bridging the Gap between Cognitive Science and Robot Learning in the Real World: Progresses and New Directions at CoRL-23.

Lab Vision

OARL aims at advancing next-generation robotics and AI to address the dynamic challenges of Society 5.0, a vision of a technology-driven, human-centered future. By integrating morphological complexity, expanded operational workspaces, and advanced intelligence, OARL researches robotic systems capable of seamless operation across diverse and dynamic environments.

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Contact: yzha@ncat.edu