6 citations · 6 across the 1 of their papers we have counts for
3 papers
Learning Coordinated Tasks using Reinforcement Learning in Humanoids
S Phaniteja, Parijat Dewangan, Pooja Guhan +2
With the advent of artificial intelligence and machine learning, humanoid robots are made to learn a variety of skills which humans possess. One of fundamental skills which humans…
DiGrad: Multi-Task Reinforcement Learning with Shared Actions
Parijat Dewangan, S Phaniteja, K Madhava Krishna +2
Most reinforcement learning algorithms are inefficient for learning multiple tasks in complex robotic systems, where different tasks share a set of actions. In such environments a…
A Deep Reinforcement Learning Approach for Dynamically Stable Inverse Kinematics of Humanoid Robots
S Phaniteja, Parijat Dewangan, Pooja Guhan +2
Real time calculation of inverse kinematics (IK) with dynamically stable configuration is of high necessity in humanoid robots as they are highly susceptible to lose balance. This…