Abhishek Sarkar

TL;DR: In this article, a suitable micro-tool vibration system has been developed, which consists of tool holding unit, micro tool vibrating unit, etc. The developed system was used successfully to control material removal rate and machining accuracy to meet the micro-machining requirements.

TL;DR: The proposed methodology to generate joint-space trajectories of stable configurations for solving inverse kinematics using Deep Reinforcement Learning (RL) is based on the idea of exploring the entire configuration space of the robot and learning the best possible solutions using Deep Deterministic Policy Gradient (DDPG).

TL;DR: In this paper, the authors proposed a methodology to generate joint-space trajectories of stable configurations for solving inverse kinematics using deep reinforcement learning (RL) based on the idea of exploring the entire configuration space of the robot and learning the best possible solutions using Deep Deterministic Policy Gradient (DDPG) The proposed strategy was evaluated on the highly articulated upper body of a humanoid model with 27 degree of freedom.

TL;DR: In this article, the passive control of bluff body wakes using a sparse layer of elastic hairy filaments has been investigated via a series of numerical simulations and compared to selected experiments under well-controlled boundary conditions.

TL;DR: This paper proposes a new design of a 8-degrees of freedom biped robot with compliant shanks and its optimum walking trajectory generation and experiments were carried out in which a biped robots with compliant links was made to follow the simulated optimal trajectories.