Neural Radiance Fields (NeRFs) have recently emerged as a powerful paradigm for the
representation of natural, complex 3D scenes. Neural Radiance Fields (NeRFs) represent …

With the increasing emphasis on the safe autonomy for robots, model-based safe control
approaches such as Control Barrier Functions have been extensively studied to ensure …

This paper introduces a novel social preference-aware decentralized safe control framework
to address the responsibility allocation problem in multi-agent collision avoidance …

Unmanned aerial vehicles are now becoming increasingly accessible to amateur and
commercial users alike. A safety air traffic management system is needed to help ensure that …

We present decentralized collision avoidance algorithms for quadrotor swarms operating
under uncertain state estimation. Our approach exploits the differential flatness property and …

We present a modified velocity-obstacle (VO) algorithm that uses probabilistic partial
observations of the environment to compute velocities and navigate a robot to a target. Our …

We present a novel algorithm for safe navigation of a mobile robot in uncertain environment
among pedestrians. Our approach uses commodity visual sensors, including monocamera …

We present a general decentralized formulation for a large class of collision avoidance
methods and show that all collision avoidance methods of this form are guaranteed to be …

Collision-free trajectory generation is a fundamental functionality of multiagent systems. As
the number of agents increases, scalable algorithms are required to efficiently compute …

Distributed Trajectory Generation for Multiagent Systems by Carlos E. Luis A thesis submitted
in conformity with the requirement Page 1 Distributed Trajectory Generation for Multiagent …