3 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
Learning from Interventions using Hierarchical Policies for Safe Learning
Jing Bi, Vikas Dhiman, Tianyou Xiao +1
Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well on multiple complex tasks. However, a limitation of the typical LfD approach is that it requires expert demo…
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti +1
This paper focuses on learning a model of system dynamics online while satisfying safety constraints.Our motivation is to avoid offline system identification or hand-specified dyna…
A Critical Investigation of Deep Reinforcement Learning for Navigation
Vikas Dhiman, Shurjo Banerjee, Brent Griffin +2
The navigation problem is classically approached in two steps: an exploration step, where map-information about the environment is gathered; and an exploitation step, where this in…
Spatiotemporal Articulated Models for Dynamic SLAM
Suren Kumar, Vikas Dhiman, Madan Ravi Ganesh +1
We propose an online spatiotemporal articulation model estimation framework that estimates both articulated structure as well as a temporal prediction model solely using passive ob…
Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation
Vikas Dhiman, Julian Ryde, Jason J. Corso
Concurrently estimating the 6-DOF pose of multiple cameras or robots---cooperative localization---is a core problem in contemporary robotics. Current works focus on a set of mutual…