no code implementations • 6 Feb 2024 • Mario A. V. Saucedo, Akash Patel, Akshit Saradagi, Christoforos Kanellakis, George Nikolakopoulos
As no database of 3D scene graphs exists for the training of the novel CECI model, we present a novel methodology for generating a 3D scene graph dataset based on semantically annotated real-life 3D spaces.
no code implementations • 12 Jul 2023 • Karthik Shenoy, Akshit Saradagi, Ramkrishna Pasumarthy, Vijaysekhar Chellaboina
Data-driven control has gained significant attention in recent years, particularly regarding feedback linearization of nonlinear systems.
no code implementations • 18 Apr 2023 • Mario A. V. Saucedo, Akash Patel, Rucha Sawlekar, Akshit Saradagi, Christoforos Kanellakis, Ali-akbar Agha-mohammadi, George Nikolakopoulos
In the proposed approach, information from the event camera and LiDAR are fused to localize a human or an object-of-interest in a robot's local frame.
no code implementations • 21 Nov 2022 • Karthik Shenoy, Akshit Saradagi, Ramkrishna Pasumarthy, Vijaysekhar Chellaboina
Our design consists of two parts: a data-driven feedback linearization based controller and a two-part estimator that can reconstruct the unknown nonlinear terms in the normal form of a nonlinear system.
no code implementations • 14 Sep 2022 • Akshit Saradagi, Avijit Banerjee, Sumeet Satpute, George Nikolakopoulos
Control barrier functions are designed to impose the safety, direction of approach and visual locking constraints.
no code implementations • 20 Oct 2021 • Akshit Saradagi, Vijay Muralidharan, Arun D. Mahindrakar, Pavankumar Tallapragada
Two sets of triggering conditions are proposed, that cater to the cases where the exact center manifold and only an approximation of the center manifold is computable.