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

2 papers

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…

cs.RO2017

Exploring Convolutional Networks for End-to-End Visual Servoing

Aseem Saxena, Harit Pandya, Gourav Kumar +2

Present image based visual servoing approaches rely on extracting hand crafted visual features from an image. Choosing the right set of features is important as it directly affects…