activity
20212026
most citedGrowing Convex Collision-Free Regions in Configuration Space using Nonlinear Programming

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Real-Time Thermal-Inertial Odometry on Embedded Hardware for High-Speed GPS-Denied Flight

Austin Stone, Mark Petersen, Cammy Peterson

We present a real-time monocular thermal-inertial odometry system designed for high-velocity, GPS-denied flight on embedded hardware. The system fuses measurements from a FLIR Boso…

cs.RO2023

Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets

Thomas Cohn, Mark Petersen, Max Simchowitz +1

Computing optimal, collision-free trajectories for high-dimensional systems is a challenging problem. Sampling-based planners struggle with the dimensionality, whereas trajectory o…

cs.RO2023★ 8 cited

Growing Convex Collision-Free Regions in Configuration Space using Nonlinear Programming

Mark Petersen, Russ Tedrake

One of the most difficult parts of motion planning in configuration space is ensuring a trajectory does not collide with task-space obstacles in the environment. Generating regions…

cs.RO2022★ 1 cited

Motion Planning around Obstacles with Convex Optimization

Tobia Marcucci, Mark Petersen, David von Wrangel +1

Trajectory optimization offers mature tools for motion planning in high-dimensional spaces under dynamic constraints. However, when facing complex configuration spaces, cluttered w…

cs.RO2021★ 1 cited

The Integrated Probabilistic Data Association Filter Adapted to Lie Groups

Mark E. Petersen, Randal W. Beard

The Integrated Probabilistic Data Association Filter (IPDAF) is a target tracking algorithm based on the Probabilistic Data Association Filter that calculates a statistical measure…