5 citations · 6 across the 6 of their papers we have counts for
6 papers · 1 filter
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design
Aoran Jiao, Tanmay P. Patel, Sanjmi Khurana +6
This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone…
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space
Vivek K. Adajania, Siqi Zhou, Arun Kumar Singh +1
Quadrotor motion planning in complex environments leverage the concept of safe flight corridor (SFC) to facilitate static obstacle avoidance. Typically, SFCs are constructed throug…
AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments
Vivek K. Adajania, Siqi Zhou, Arun Kumar Singh +1
This paper presents a scalable online algorithm to generate safe and kinematically feasible trajectories for quadrotor swarms. Existing approaches rely on linearizing Euclidean dis…
Real-Time Multi-Convex Model Predictive Control for Occlusion Free Target Tracking
Houman Masnavi, Vivek Adajania, Karl Kruusamae +1
This paper proposes a Model Predictive Control (MPC) algorithm for target tracking amongst static and dynamic obstacles. Our main contribution lies in improving the computational t…
Embedded Hardware Appropriate Fast 3D Trajectory Optimization for Fixed Wing Aerial Vehicles by Leveraging Hidden Convex Structures
Vivek Kantilal Adajania, Houman Masnavi, Fatemeh Rastgar +2
Most commercially available fixed-wing aerial vehicles (FWV) can carry only small, lightweight computing hardware such as Jetson TX2 onboard. Solving non-linear trajectory optimiza…
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving
Vivek K. Adajania, Aditya Sharma, Anish Gupta +3
Standard Model Predictive Control (MPC) or trajectory optimization approaches perform only a local search to solve a complex non-convex optimization problem. As a result, they cann…