Jeremy Ma

TL;DR: It is concluded that a cooperation model is critical for safe and efficient robot navigation in dense human crowds and the salient characteristics of nearly any dynamic navigation algorithm.

TL;DR: A cooperation model is important for safe and efficient robot navigation in dense human crowds by developing a probabilistic predictive model of cooperative collision avoidance and goal-oriented behavior by extending the interacting Gaussian processes approach to include multiple goals and stochastic movement duration.

TL;DR: The hardware design and software algorithms of RoboSimian are presented, a statically stable quadrupedal robot capable of both dexterous manipulation and versatile mobility in difficult terrain, demonstrating its ability to perform disaster recovery tasks in degraded human environments.

TL;DR: The key measurement equations that govern the fusion process to fuse stereo vision, force-torque sensor, and joint angle encoder measurements to estimate and track the location of a grasped object within the hand are developed.

TL;DR: Hardware and software improvements to the RoboSimian system leading up to and during the 2015 DARPA Robotics Challenge (DRC) Finals are discussed.