activity
20162025
most citedCollision-free time-optimal path parameterization for multi-robot teams

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2024

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…

cs.RO2024★ 1 cited

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…

cs.RO2024

Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics

Fernando Cladera, Ian D. Miller, Zachary Ravichandran +5

One common and desirable application of robots is exploring potentially hazardous and unstructured environments. Air-ground collaboration offers a synergistic approach to addressin…

cs.CY2016

Toward a Science of Autonomy for Physical Systems: Aerial Earth Science

M. Ani Hsieh, Srikanth Saripalli, Gaurav Sukhatme +1

Unmanned Aerial Vehicles (UAVs) equipped with LiDAR, electro-optical and infrared cameras, SAR and atmospheric sensors have transformed the way we acquire high spatio-temporal reso…