Neil T. Dantam

Neil T. Dantam is an Associate Professor of Computer Science at the Colorado School of Mines, focusing on robot planning and control at the intersection of symbolic and continuous domains. His work emphasizes mathematical verification, physical applicability, and user-friendly robot programming.

• Education:
• Ph.D. in Robotics from Georgia Institute of Technology (2014)
• Double B.S. in Computer Science and Mechanical Engineering from Purdue University (2008)

Research Interests: Neil's research combines discrete and geometric planning, improves Cartesian control, and analyzes robot policies. He prioritizes methods connecting theoretical development with practical validation through robot manipulation and software design.

Recent Trends: His publications address motion planning infeasibility proofs, robot team coordination under communication constraints, and hybrid task-motion planning frameworks. Keywords include Robotics, Algorithm Design, Computational Geometry, and Human-Robot Interaction.

• Scientific Awards:
• Georgia Tech President's Fellowship
• Georgia Tech/SAIC Paper Award
• American Control Conference '12 Presentation Award
• HUMANOIDS '14 Best Paper Finalist
• HUMANOIDS '14 Mike Stilman Award Finalist

Students & Grants: Neil is actively recruiting students for research. He has secured grants for projects on robot team data collection, communication jamming resilience, and infeasibility proof scaling.

Labs: He contributes to robotics research at Colorado School of Mines and previously at Georgia Tech, Rice University, and institutions like MIT Lincoln Laboratory and Raytheon.