Akhil S. Anand

According to our database, Akhil S. Anand authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Efficient Reinforcement Learning for Variable Impedance Control.

Akhil S. Anand, Rituraj Kaushik, Jan Tommy Gravdahl, Fares J. Abu-Dakka

IEEE Access, 2024

2023

Model-based variable impedance learning control for robotic manipulation.

Akhil S. Anand, Jan Tommy Gravdahl, Fares J. Abu-Dakka

Robotics Auton. Syst., December, 2023

Learning-based MPC from Big Data Using Reinforcement Learning.

Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros

CoRR, 2023

A Painless Deterministic Policy Gradient Method for Learning-based MPC.

Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros

Proceedings of the European Control Conference, 2023

2022

Deep Model Predictive Variable Impedance Control.

Akhil S. Anand, Fares J. Abu-Dakka, Jan Tommy Gravdahl

CoRR, 2022

Evaluation of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills.

Akhil S. Anand, Martin Hagen Myrestrand, Jan Tommy Gravdahl

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning.

Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka, Esten Ingar Grøtli, Jan Tommy Gravdahl

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Real-time temporal adaptation of dynamic movement primitives for moving targets.

Akhil S. Anand, Andreas Østvik, Esten Ingar Grøtli, Marialena Vagia, Jan Tommy Gravdahl

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2019

A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model.

Akhil S. Anand, Guoping Zhao, Hubert Roth, André Seyfarth

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019