John Oberlin
Papers
7
Total Citations
150
H-Index
5
About
John Oberlin’s research lies at the intersection of human-robot interaction, autonomous manipulation, and educational robotics. His work focuses on enabling robots to interpret natural, multimodal human communication—integrating language, gesture, and context in real time to collaborate effectively on shared tasks. A key contribution is his pioneering approach to incremental processing of referring expressions, which allows robots to understand and respond to human instructions as they unfold, rather than after the fact. This work, published in 2016, has garnered 62 citations and remains foundational in the field of situated dialogue. Oberlin also made significant strides in autonomous object manipulation, developing systems that learn to pick up objects through active exploration and experience, reducing the need for manual customization. Beyond research, he created the PiDrone, a low-cost, open-source educational drone platform built with Raspberry Pi and Python. This platform, detailed in a 2018 paper with 37 citations, has been used in college-level robotics courses to give students hands-on experience building and programming autonomous aerial robots. His broader impact includes exploring Minecraft as a simulation environment for robotics AI and envisioning the future of autonomy in robotic surgery.
Research Focus
Key Achievements
Top Papers
- 1Interpreting multimodal referring expressions in real time62 citations · 2016
- 2PiDrone: An Autonomous Educational Drone Using Raspberry Pi and Python37 citations · 2018
- 3Autonomously Acquiring Instance-Based Object Models from Experience22 citations · 2017
- 4Minecraft as an Experimental World for AI in Robotics.17 citations · 2015
- 5Intelligence and Autonomy in Future Robotic Surgery6 citations · 2021
- 6Learning to pick up objects through active exploration4 citations · 2015
- 7Robotic Social Feedback for Object Specification2 citations · 2015