ROBOT AUTONOMY AND INTERACTIVE LEARNING LAB @ GT

The Robot Autonomy and Interactive Learning (RAIL) research lab focuses on the development of robotic systems that operate effectively in complex human environments, adapt to user preferences and learn from user input. Directed by Sonia Chernova, the lab’s research spans adjustable autonomy, semantic reasoning, human-robot interaction and cloud robotics. See list of publications for an in-depth view of our recent work.

Research Highlights

For a full list of papers, please see Google Scholar.

Weiyu Liu, Angel Daruna, Maithili Patel, Kartik Ramachandruni, Sonia Chernova. A Survey of Semantic Reasoning Frameworks for Robotic Systems. Robotics and Automation (RAS) Journal, 2023. [PDF]

Devleena Das, Been Kim, Sonia Chernova. Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems. Intelligent User Interfaces (IUI), 2023. [PDF]

Maithili Patel and Sonia Chernova. Proactive Robot Assistance via Spatio-Temporal Object Modeling. Conference on Robot Learning (CoRL), 2022. [PDF]

Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai. Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation. Conference on Robot Learning (CoRL), 2022. [PDF]

Andrew Messing*, Glen Neville*, Sonia Chernova, Seth Hutchinson, Harish Ravichandar. GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling. The International Journal of Robotics Research (IJRR) 41 (2), 232-256, 2022. [PDF]

Jack Kolb, Harish Ravichandar, Sonia Chernova. Leveraging Cognitive States in Human-Robot Teaming. IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022. [PDF]

Weiyu Liu, Dhruva Bansal, Angel Andres Daruna, Sonia Chernova. Learning Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments. Robotics: Science and Systems (RSS), 2021. [PDF]

Harish Ravichandar, Athanasios S. Polydoros, Sonia Chernova, Aude Billard. Recent Advances in Robot Learning from Demonstration. Annual Review of Control, Robotics, and Autonomous Systems, 2020. [PDF]

Weiyu Liu, Angel Daruna, Sonia Chernova. CAGE: Context-Aware Grasping Engine. International Conference on Robotics and Automation, 2020. [PDF]

Devleena Das and Sonia Chernova. Leveraging Rationales to Improve Human Task Performance. ACM International Conference on Intelligent User Interfaces, 2020. [PDF]