Carnegie Mellon University
Deceptive Robot Motion: Synthesis, Analysis and Experiments

Anca Dragan, Rachel Holladay , and Siddhartha Srinivasa
Autonomous Robots, July, 2015.

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Much robotics research explores how robots can clearly communicate true information. Here, we focus on the counterpart: communicating false information, or hiding information altogether – in one word, deception. Robot deception is useful in conveying intentionality, and in making games against the robot more engaging. We study robot deception in goal-directed motion, in which the robot is concealing its actual goal. We present an analysis of deceptive motion, starting with how humans would deceive, moving to a mathematical model that enables the robot to autonomously generate deceptive motion, and ending with a studies on the implications of deceptive motion for human robot interactions and the effects of iterated deception.

robotics, deception, legibility, human robot interaction, motion planning

Associated Center(s) / Consortia: Quality of Life Technology Center, National Robotics Engineering Center, and Center for the Foundations of Robotics
Associated Lab(s) / Group(s): Personal Robotics

Text Reference
Anca Dragan, Rachel Holladay , and Siddhartha Srinivasa, "Deceptive Robot Motion: Synthesis, Analysis and Experiments," Autonomous Robots, July, 2015.

BibTeX Reference
   author = "Anca Dragan and Rachel {Holladay } and Siddhartha Srinivasa",
   editor = "Gaurav Sukhatme",
   title = "Deceptive Robot Motion: Synthesis, Analysis and Experiments",
   journal = "Autonomous Robots",
   month = "July",
   year = "2015",