25 citations · 43 across the 18 of their papers we have counts for
6 papers · 2 filters
Deep Learning for Optimization of Trajectories for Quadrotors
Yuwei Wu, Xiatao Sun, Igor Spasojevic +1
This paper presents a novel learning-based trajectory planning framework for quadrotors that combines model-based optimization techniques with deep learning. Specifically, we formu…
TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors
Katherine Mao, Igor Spasojevic, M. Ani Hsieh +1
Planning time-optimal trajectories for quadrotors in cluttered environments is a challenging, non-convex problem. This paper addresses minimizing the traversal time of a given coll…
3D Active Metric-Semantic SLAM
Yuezhan Tao, Xu Liu, Igor Spasojevic +2
In this letter, we address the problem of exploration and metric-semantic mapping of multi-floor GPS-denied indoor environments using Size Weight and Power (SWaP) constrained aeria…
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles
Igor Spasojevic, Xu Liu, Ankit Prabhu +3
This paper addresses the problem of active collaborative localization in heterogeneous robot teams with unknown data association. It involves positioning a small number of identica…
A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems
Anusha Srikanthan, Fengjun Yang, Igor Spasojevic +3
We consider joint trajectory generation and tracking control for under-actuated robotic systems. A common solution is to use a layered control architecture, where the top layer use…
Active Collaborative Localization in Heterogeneous Robot Teams
Igor Spasojevic, Xu Liu, Alejandro Ribeiro +2
Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) co…