The Cognitive Optimization and Relational (CORE) Robotics laboratory develops advanced algorithmic techniques to enable robots to collaborate with human teammates. The lab’s work is founded upon the vision for moving beyond thinking of robots as tools that must be manually controlled towards a paradigm in which robots can learn through interaction and experience how to be effective peers for human professionals in healthcare, manufacturing, and search & rescue. Algorithmic techniques include deep reinforcement learning, mathematical programming, and distributed control theory. Additionally, we conduct human subject experiments to understand how to design effective algorithms and to evaluate the contribution of our computational techniques.
- June 17, 2021 – We are organizing the Robotics for People (R4P): Perspectives on Interaction, Learning, and Safety Workshop at RSS 2021. By bridging the HRI, ML, and MP communities, this workshop aims to create a road map for developing safer and smarter robots.
- June 17, 2021 – Congrats to Esi and Zac on their paper entitled “A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams” being accepted to IEEE T-RO.
- May 29, 2021 – Congrats to Eric and Manisha on their paper entitled “Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies” being accepted to IEEE T-HRI.
- March 10, 2021 – Congrats to Pradyumna and Andrew on their paper entitled “Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers” being accepted to NAACL’21.
- Jan 24, 2021 – Congrats to Esi on his paper entitled “Adaptive Leader-Follower Control for Multi-Robot Teams with Uncertain Network Structure.” being accepted to ACC’21.
- December 17, 2020 – Congrats to Yaru and Rohan on their paper entitled “Multi-Agent Graph-Attention Communication and Teaming” being accepted to AAMAS’21.
- Nov 16, 2020 – Congrats to Zac and Rohan on receiving a CoRL Best Paper Nomination on their paper entitled “Learning from Suboptimal Demonstration via Self-Supervised Reward Regression”.
- Sept 25, 2020 – Congrats to Zac and Rohan on their paper entitled “Learning from Suboptimal Demonstration via Self-Supervised Reward Regression” being accepted to CoRL’20.
- Sept 25, 2020 – Congrats to Rohan, Andrew, and Zac on their paper entitled “Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations” being accepted to NeurIPS’20.
- June 19, 2020 – Zheyuan successfully defended his PhD proposal. Congratulations Zheyuan!
- June 2, 2020 – Zheyuan‘s paper entitled “Learning scheduling policies for multi-robot coordination with graph attention networks” is accepted to IEEE RA-L. Awesome job Zheyuan!
- May 15, 2020 – Andrew will be joining Apple and Van will be working at NASA as Graduate Interns during this upcoming Summer 2020. Awesome! Congrats guys!
- May 15, 2020 – Manisha, Zac, and Leng graduated with their Master’s degrees from GT. Kudos to you all on your amazing achievements! Manisha and Zac will continue their work at CORE Robotics Lab as PhD students, starting Fall’20 and Leng will be hunting jobs. Good Luck out there!
- May 5, 2020 – Zheyuan‘s paper entitled “Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints” is accepted to RSS’20. Amazing job Zheyuan!
- Feb. 13, 2020 – Esi‘s ACC’20 paper is selected among the top 5 as a finalist for Best Student Paper Award. Kudos to you Esi!
- Jan. 16, 2020 – Esi‘s paper entitled “Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires” is accepted to ACC’20. Nice job Esi!
- Jan. 2020 – Mariah, Michael and Leng have a co-first-authored a paper entitled “Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies” which is accepted for presentation in alt. HRI 2020. Congrats guys!
- Jan. 6, 2020 – Andrew‘s paper entitled “Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning” is accepted to AISTATS. Congrats Andrew!
- Nov. 29, 2019 – Zac‘s paper entitled “Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation” is accepted to HRI’20. Great job Zac!
- Nov. 29, 2019 – Manisha‘s paper entitled “Effects of Anthropormorphism and Accountability on Trust in Human Robot Interaction” is accepted to HRI’20. Amazing job Manisha!
- Nov. 2019 – Mariah‘s paper entitled “When Your Robot Breaks: Active Learning During Plant Failure” is accepted to IEEE RA-L. She is also accepted to present her work in ICRA’20. Well done Mariah!
- Dec. 18, 2019 – Laura successfully defended her PhD proposal. Congratulations Laura!
- Oct. 11, 2019 – Matthew Gombolay gave keynote for the Southeastern Robotics Symposium.
- Oct. 1, 2019 – Nakul Gopalan joins the lab. Welcome!
- Sep. 13, 2019 – Matthew Gombolay receives NASA Early Career Fellowship on “Scaling the Power of the Astronaut via Workload-aware Robotic Apprenticeship and Explainable Autonomy”.