Daniel J. Butler
Papers
2
Total Citations
113
H-Index
2
About
Daniel J. Butler is a researcher at the intersection of robotics, human-robot interaction, and privacy-aware systems. His work addresses critical challenges in deploying robots in human-populated environments, particularly the tension between utility and privacy in teleoperated systems. His most-cited paper, "The Privacy-Utility Tradeoff for Remotely Teleoperated Robots" (2015, 104 citations), explores how robots performing everyday tasks like cleaning or cooking could be made more acceptable in homes by balancing operational effectiveness with user privacy—a prescient contribution as domestic robotics continues to grow. Butler also investigates human-in-the-loop perception for robot manipulation, as seen in his work on interactive scene segmentation (2017), which tackles the persistent challenge of cluttered, unknown environments by leveraging human input to guide robotic perception. Though his citation counts reflect a focused, early-career impact, Butler’s research is notable for its forward-looking emphasis on near-term deployment of robots in ordinary settings, moving beyond extreme applications like bomb diffusion or space exploration. His work offers valuable insights for students and researchers interested in the social and technical dimensions of bringing robots into daily life.
Research Focus
Key Achievements
Top Papers
- 1The Privacy-Utility Tradeoff for Remotely Teleoperated Robots104 citations · 2015
- 2