1 citations · 1 across the 4 of their papers we have counts for
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KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
Alice Kate Li, Thales C Silva, Victoria Edwards +2
In this work, we propose a novel flow field-based motion planning method that drives a robot from any initial state to a desired reference trajectory such that it converges to the…
Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
Katherine Mao, Hongzhan Yu, Ruipeng Zhang +4
Time-optimal trajectories drive quadrotors to their dynamic limits, but computing such trajectories involves solving non-convex problems via iterative nonlinear optimization, makin…
Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities
Zachary Ravichandran, Fernando Cladera, Jason Hughes +5
The integration of foundation models (FMs) into robotics has enabled robots to understand natural language and reason about the semantics in their environments. However, existing F…
EvMAPPER: High Altitude Orthomapping with Event Cameras
Fernando Cladera, Kenneth Chaney, M. Ani Hsieh +2
Traditionally, unmanned aerial vehicles (UAVs) rely on CMOS-based cameras to collect images about the world below. One of the most successful applications of UAVs is to generate or…
Collision-free time-optimal path parameterization for multi-robot teams
Katherine Mao, Igor Spasojevic, Malakhi Hopkins +2
Coordinating the motion of multiple robots in cluttered environments remains a computationally challenging task. We study the problem of minimizing the execution time of a set of g…