most citedA Deep Reinforcement Learning Approach for Dynamically Stable Inverse Kinematics of Humanoid Robots

6 citations · 6 across the 1 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2018

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…

cs.RO2018★ 6 cited

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…