10 citations · 22 across the 4 of their papers we have counts for
4 papers
Action-conditioned Deep Visual Prediction with RoAM, a new Indoor Human Motion Dataset for Autonomous Robots
Meenakshi Sarkar, Vinayak Honkote, Dibyendu Das +1
With the increasing adoption of robots across industries, it is crucial to focus on developing advanced algorithms that enable robots to anticipate, comprehend, and plan their acti…
High-Relative Degree Stochastic Control Lyapunov and Barrier Functions
Meenakshi Sarkar, Debasish Ghose, Evangelos A. Theodorou
We introduce High-Relative Degree Stochastic Control Lyapunov functions and Barrier Functions as a means to ensure asymptotic stability of the system and incorporate state dependen…
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…
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…