Otte, Michael

Assistant Professor
Department of Aerospace Engineering
3179 Glenn L. Martin Hall, University of Maryland, College Park, MD 20742
301-405-2376
301-314-9001
Research Interests 
Design and analysis of algorithms for autonomous vehicles and robotic systems. His major research thrusts involve: motion planning for single and multi-agent systems, and distributed algorithms that enable robotic teams and/or swarms to pool resources in order to solve their common problems. He is particularly interested in applications where the environment is hazardous and/or changing and communication is unreliable. His work involves elements of planning, control, robotics, multi-agent systems, distributed systems, graph theory, computational geometry, machine learning, artificial intelligence, emergent behavior, and stochastic processes.
Background Info 
 
Education 
  • Ph.D., University of Colorado at Boulder (Computer Science)
  • M.S., University of Colorado at Boulder (Computer Science)
  • B.S., Clarkson University (Aeronautical Engineering and Computer Science)
Selected Publications 
 
Communication Symmetry and Asymmetry in Competitive Two Team Target Search Game. Michael Otte, Michael Kuhlman, and Donald Sofge. Autonomous Robots.
 
Multipass Target Search in Natural Environments. Michael Kuhlman, Michael Otte, Donald Sofge, Satyandra K. Gupta. Sensors.
 
Effcient Collision Checking in Sampling-based Motion Planning via Safety Certificates. Joshua Bialkowski, Michael Otte, Sertac Karaman, and Emilio Frazzoli. The International Journal of Robotics Research. Volume 29, Issue 7. 2016. p. 767-796.
 
RRTX: Asymptotically Optimal Single-Query Sampling-Based Motion Planning with Quick Replanning. Michael Otte and Emilio Frazzoli. The International Journal of Robotics Research. Volume 29, Issue 7. 2016. p. 797-822.
 
C-FOREST: Parallel Shortest-Path Planning with Super Linear Speedup. Michael Otte and Nikolaus Correll. IEEE Transactions on Robotics. Volume 29, Issue 3. June, 2013. p. 798-806.
 
Path planning in image space for autonomous robot navigation in unstructured outdoor environments. Michael Otte, Scott G. Richardson, Jane Mulligan, Gregory Grudic. Journal of Field Robotics. Volume 26, Issue 2. February, 2009. p. 212-240.
 
 
Related News 
 
Maryland's is among the first “core swarm sprints” projects awarded in DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program. April 3, 2018