7 citations · 21 across the 12 of their papers we have counts for
13 papers
Game-Theoretic Model Based Resource Allocation During Floods
Rudrashis Majumder, Rakesh R Warier, Debasish Ghose
For multiple emergencies caused by natural disasters, it is crucial to allocate resources equitably to each emergency location, especially when the availability of resources is lim…
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…
Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder
Meenakshi Sarkar, Debasish Ghose
Predicting movement of objects while the action of learning agent interacts with the dynamics of the scene still remains a key challenge in robotics. We propose a multi-layer Long…
Influence Dynamics and Consensus in an Opinion-Neighborhood based Modified Vicsek-like Social Network
Narayani Vedam, Debasish Ghose
We propose a modified Vicsek-like model to study influence dynamics and opinion formation in social networks. We work on the premise that opinions of members of a group may be cons…
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…