The DRC Tartan Rescue Team unites Carnegie Mellon University’s National Robotics Engineering Center (NREC) with leading corporate partners. NREC is the technology transfer arm of CMU’s world-renowned Robotics Institute. It played a key role in CMU's Tartan Racing team, which won first place in the 2007 DARPA Urban Challenge. 

Dr. Tony Stentz leads the Tartan Rescue Team.  Our world-class researchers and engineers are passionate about winning the DARPA Robotics Challenge and creating a new generation in robotics!

Dr. Tony Stentz
Principal Investigator and Sliding Autonomy Lead

Dr. Tony Stentz is a Research Professor at NREC. His research expertise includes unmanned ground vehicles, unmanned air vehicles, multi-vehicle planning and coordination, dynamic planning, perception for mobile vehicles, robot architecture, and artificial intelligence. He was the first to merge the fields of incremental algorithms and heuristic search to produce very fast re-planners for dynamic environments. Dr. Stentz has executed projects for numerous government and commercial organizations. He received the Alan Newell Award for Research Excellence and a NASA Board Award for developing software used on the Mars Rovers. His organization (NREC) was nominated for a DARPA Sustained Excellence Award for its unmanned ground vehicle work. Dr. Stentz holds a PhD and MS in Computer Science from Carnegie Mellon University and a BS in Physics from Xavier University.

Dr. Herman Herman
Sensor Pod and Electronics Lead

Dr. Herman Herman is the Director of the National Robotics Engineering Center and a Research Professor at Carnegie Mellon University's Robotics Institute. Dr. Herman has developed robotic vehicles, sensors, and electronics for numerous government and commercial clients in defense, agriculture, mining, and other markets. His interests include perception, autonomy, communications, user interfaces, hardware, electronics and test bed design. Dr. Herman's sensor pods have been adapted to platforms from small EOD robots to large off-highway vehicles. His work in mine detection led to the development of robotic platforms for military and humanitarian demining applications and a computer vision-based training system for hand-held land mine detectors. Dr. Herman holds a PhD in robotics from Carnegie Mellon University and a BS in computer science from the University of Illinois.

Eric Meyhoffer
Mechanical Systems Lead

Eric Meyhofer is a Senior Commercialization Specialist at NREC. His areas of expertise include mechanical design, robotic manipulators, automation, high degree-of-freedom robotic systems, unmanned ground vehicles, laser mapping, project management, and systems integration. He has executed numerous robotics projects for government and commercial organizations. Mr. Meyhofer also leads NREC's mechanical design and prototyping efforts and spearheaded efforts to bring prototyping in-house by setting up a digital machine shop. Mr. Meyhofer studied mechanical engineering at Carnegie Mellon University and holds several US patents.

Dr. Drew Bagnell
Machine Learning Lead

Dr. Drew Bagnell is an Assistant Research Professor at NREC and is cross-appointed with the Machine Learning Department. His research focuses on machine learning for automated decision making, machine vision and perception, autonomous manipulation, adaptive control, image analysis, optimization, and planning under uncertainty and in large information spaces. Some of Dr. Bagnell's key contributions include developing inverse optimal control methods for imitation learning in both field and legged robotics and developing machine learning techniques for automated 2D/3D perception and control. Dr. Bagnell received a B.Sc. in Electrical Engineering from the University of Florida and an MS and PhD in Robotics from Carnegie Mellon University.

Dr. Alonzo Kelly
Software Lead for Immersive, Model-driven User Interface

Dr. Alonzo Kelly is a Professor at Carnegie Mellon University's Robotics Institute. His research interests span all aspects of mobile robotics, including perception, cognition, control, position estimation, simulation, manipulation, visualization, and human interfaces for indoor and outdoor mobile robots. Dr. Kelly has been involved in projects for industrial, nuclear, space, and defense robotics, including unmanned ground vehicles, localization and navigation systems, advanced interfaces, and explosive ordinance disposal robots. He holds a PhD and MS in Robotics from Carnegie Mellon University, a BS in Computer Science from York University, and a BA in Aero Engineering from the University of Toronto.

Dr. Sidd Srinivasa
Grasping and Dextrous Manipulation Lead

Dr. Sidd Srinivasa is interested in how robots perceive their surroundings, plan and control manipulation and movement, and cooperate with humans and other robots. He founded and directs the Personal Robotics Lab, which investigates how robots operate in homes, offices, and other cluttered, human-centered environments. He also co-directs the Robotics Institute's Manipulation Lab, which focuses of robots that can perform real-world tasks from industrial assembly to household chores. Dr. Srinivasa earned a B.Tech in Mechanical Engineering from the Indian Institute of Technology Madras and an MS and PhD in Robotics from Carnegie Mellon University.

Dr. Clark Haynes
Software Lead

Dr. Clark Haynes is a Senior Robotics Engineer at NREC. His research focuses on robot behaviors for highly unique mobility systems. He was the behavioral lead developer for the DARPA RiSE program, a bio-inspired climbing robot, and has researched a variety of methods of applying gait planning and gait-based locomotion control strategies. Dr. Haynes developed perception systems for the DARPA LS3 program. He has extensive experience with software systems, integration, simulation methods, and the use of ROS for robot communication and control. Dr. Haynes holds an MS and a PhD in robotics from Carnegie Mellon University and a BSE from the University of Michigan.

Dr. Maxim Likhachev
High-DOF Planning Lead

Dr. Maxim Likhachev is an Associate Research Professor at NREC. His research interests include real-time planning, graph search-based planning, and statistical planning. Other research interests include teams of robots, machine learning, mobile manipulation, articulated robots, and tightly coupled robots. Dr. Likhachev earned a BS in Mathematics (Computer Science minor) and a ME in Electrical Engineering from Stevens Institute of Technology, and a PhD and MS in Computer Science from Carnegie Mellon University. He is also an adjunct faculty member of the Computer and Information Science department at the University of Pennsylvania and is a member of the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory.

David Stager
Systems Engineering Lead

David Stager is a Senior Commercialization Specialist at NREC. His interests are in unmanned vehicle design, teams of robots, machine vision, field testing, electronics, software, and system integration. He played key engineering and systems integration roles for the Cargo UGV autonomous convoy project and the Crusher and Spinner unmanned ground vehicles. His machine vision system is in commercial use in conveyor belt inspection systems. Mr. Stager holds a BS in Electrical and Computer Engineering/Math and Computer Science and a MS in Robotics from Carnegie Mellon University. He holds a United States patent and received the DARPA Research Excellence Award and the Allen Newell Research Excellence Award.

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