3 citations · 8 across the 7 of their papers we have counts for
7 papers
Quad-LCD: Layered Control Decomposition Enables Actuator-Feasible Quadrotor Trajectory Planning
Anusha Srikanthan, Hanli Zhang, Spencer Folk +2
In this work, we specialize contributions from prior work on data-driven trajectory generation for a quadrotor system with motor saturation constraints. When motors saturate in qua…
ADMM-MCBF-LCA: A Layered Control Architecture for Safe Real-Time Navigation
Anusha Srikanthan, Yifan Xue, Vijay Kumar +2
We consider the problem of safe real-time navigation of a robot in a dynamic environment with moving obstacles of arbitrary smooth geometries and input saturation constraints. We a…
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
Anish Bhattacharya, Marco Cannici, Nishanth Rao +4
We present the first static-obstacle avoidance method for quadrotors using just an onboard, monocular event camera. Quadrotors are capable of fast and agile flight in cluttered env…
Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control
Anusha Srikanthan, Aren Karapetyan, Vijay Kumar +1
Many practical applications of optimal control are subject to real-time computational constraints. When applying model predictive control (MPC) in these settings, respecting timing…
Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
Anish Bhattacharya, Nishanth Rao, Dhruv Parikh +5
We demonstrate the capabilities of an attention-based end-to-end approach for high-speed vision-based quadrotor obstacle avoidance in dense, cluttered environments, with comparison…
Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems
Hanli Zhang, Anusha Srikanthan, Spencer Folk +2
Motivated by the increasing use of quadrotors for payload delivery, we consider a joint trajectory generation and feedback control design problem for a quadrotor experiencing aerod…
Augmented Lagrangian Methods as Layered Control Architectures
Anusha Srikanthan, Vijay Kumar, Nikolai Matni
For optimal control problems that involve planning and following a trajectory, two degree of freedom (2DOF) controllers are a ubiquitously used control architecture that decomposes…