Scholar
Brian Plancher
Google Scholar ID: Hys8HdsAAAAJ
Dartmouth College and Barnard College, Columbia University
Citations & Impact
Citations
928
H-index
17
i10-index
21
Publications
20
Co-authors
62
list available
Publications
Resume (English only)
Academic Achievements
- Two papers accepted to IROS 2025: 'Robust and Efficient Embedded Convex Optimization through First-Order Adaptive Caching' and 'Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light'
- Awarded a Toyota Research Institute University 2.0 Grant (2025) for Uncertainty-Aware Optimization for Intelligent Control
- Received an NSF CSSI Grant (2024) to build an Accessible GPU-Accelerated Edge Optimal Control Library and Benchmarks
- MPCGPU paper won Best Poster Award at IEEE-RAS TC on Model-Based Optimization for Robotics Virtual Poster Session (2024)
- Collaborative TinyMPC paper won Best Paper in Automation and was a finalist for Best Conference Paper and Best Student Paper at IEEE ICRA 2024
- Developed notable systems: MPCGPU, GRiD, TinyMPC
Research Experience
- Assistant Professor of Computer Science at Dartmouth College (starting Fall 2025)
- Former Assistant Professor of Computer Science at Barnard College
- Affiliate positions in Computer Science and Electrical Engineering at Columbia University
- Leads the A²R Lab, conducting research in robotic system optimization, embedded machine learning, and parallel computing
- Co-organizing the Optimization for Robotics Summer School (July 2025, University of Patras, Greece)
- Organized the RoboARCH workshop at IEEE ICRA 2025 on robotics acceleration with computing hardware and systems
Background
- Assistant Professor of Computer Science at Dartmouth College, leading the Accessible and Accelerated Robotics Lab (A²R Lab)
- Previously Assistant Professor of Computer Science at Barnard College, with affiliate appointments in the Department of Computer Science and Electrical Engineering at Columbia University
- Co-chair of the Tiny Machine Learning Open Education Initiative (TinyMLedu) and associate co-chair of the IEEE-RAS TC on Model Based Optimization for Robotics (TCOptRob)
- Research focuses on optimizing robotic systems at all scales through algorithm-hardware-software co-design
- Research lies at the intersection of Robotics, Computer Architecture, Embedded Systems, Numerical Optimization, and Machine Learning
- Committed to promoting a responsible, sustainable, and accessible future for robotics and edge computing through interdisciplinary, project-based, open-access education
