Rohan P. Singh

Orcid: 0000-0002-9399-618X

Affiliations:
  • National Institute of Advanced Industrial Science and Technology (AIST), Joint Robotics Laboratory, Japan
  • University of Tsukuba, Ibaraki, Japan


According to our database1, Rohan P. Singh authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning to Classify Surface Roughness Using Tactile Force Sensors.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

Robust Humanoid Walking on Compliant and Uneven Terrain with Deep Reinforcement Learning.
Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023
Learning Bipedal Walking for Humanoids With Current Feedback.
IEEE Access, 2023

Mc-Mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

2022
Thermophyscical Properties And Applications Nanofluids - On Review.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

Learning Bipedal Walking On Planned Footsteps For Humanoid Robots.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Enhanced Visual Feedback with Decoupled Viewpoint Control in Immersive Humanoid Robot Teleoperation using SLAM.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
Visual SLAM Framework Based on Segmentation with the Improvement of Loop Closure Detection in Dynamic Environments.
J. Robotics Mechatronics, 2021

Rapid Pose Label Generation through Sparse Representation of Unknown Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

APE: A More Practical Approach To 6-Dof Pose Estimation.
Proceedings of the IEEE International Conference on Image Processing, 2020


  Loading...