3 citations · 5 across the 6 of their papers we have counts for
6 papers
Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation
Edgar Granados, Sumanth Tangirala, Kostas E. Bekris
State estimation and control are often addressed separately, leading to unsafe execution due to sensing noise, execution errors, and discrepancies between the planning model and re…
The State of Robot Motion Generation
Kostas E. Bekris, Joe Doerr, Patrick Meng +1
This paper reviews the large spectrum of methods for generating robot motion proposed over the 50 years of robotics research culminating in recent developments. It crosses the boun…
: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
Aravind Sivaramakrishnan, Sumanth Tangirala, Dhruv Metha Ramesh +2
This paper aims to increase the safety and reliability of executing trajectories planned for robots with non-trivial dynamics given a light-weight, approximate dynamics model. Scen…
Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification
Tushar Gadhiya, Sumanth Tangirala, Anil K. Roy
In this paper we are proposing classification algorithm for multifrequency Polarimetric Synthetic Aperture Radar (PolSAR) image. Using PolSAR decomposition algorithms 33 features a…
: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space
Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala +3
Estimating the region of attraction () for a robot controller is essential for safe application and controller composition. Many existing methods require a closed-form e…
Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics
Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados +2
This paper aims to improve the computational efficiency of motion planning for mobile robots with non-trivial dynamics through the use of learned controllers. Offline, a system-spe…