Summary
Joseph Campbell is an Assistant Professor of Computer Science and researcher specializing in interpretable AI and behavior modeling to enable safe, adaptable human-robot interaction. With 11 years of experience spanning academia and industry—from embedded C++ systems at Garmin to applied research roles at CMU, AWS, Google, and Honda—he blends rigorous theory (PhD work on probabilistic interaction primitives) with real-world robotic deployments and IRB-backed user studies. His publications across NeurIPS, ICRA, IROS, RSS, and CoRL reflect a focus on making robot decisions and human intentions mutually understandable, and he has repeatedly translated those models into physical robots and autonomous platforms. Known for practical innovation as well as empathy-driven design, he aims to build robots that not only act safely but are predictable and helpful to people.
11 years of coding experience
2 years of employment as a software developer
Marketing, Marketing at The College of New Jersey