7 citations · 21 across the 12 of their papers we have counts for
4 papers · 1 filter
Planning Robot Motion using Deep Visual Prediction
Meenakshi Sarkar, Prabhu Pradhan, Debasish Ghose
In this paper, we introduce a novel framework that can learn to make visual predictions about the motion of a robotic agent from raw video frames. Our proposed motion prediction ne…
Analysis of Obstacle based Probabilistic RoadMap Method using Geometric Probability
Titas Bera, M. Seetharama Bhat, Debasish Ghose
Sampling based planners have been successful in robot motion planning, with many degrees of freedom, but still remain ineffective in the presence of narrow passages within the conf…
Asymptotic Optimality of Rapidly Exploring Random Tree
Titas Bera, Debasish Ghose, Sundaram Suresh
In this paper we investigate the asymptotic optimality property of a randomized sampling based motion planner, namely RRT. We prove that a RRT planner is not an asymptotically opti…
Emotional Metaheuristics For in-situ Foraging Using Sensor Constrained Robot Swarms
Esh Vckay, Debasish Ghose
We present a new social animal inspired emotional swarm intelligence technique. This technique is used to solve a variant of the popular collective robots problem called foraging.…