Akhil S Anand
Publications
2024
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Sadanandan Anand, Akhil;
Kaushik, Rituraj;
Gravdahl, Jan Tommy;
Abu-Dakka, Fares J..
(2024)
Data-Efficient Reinforcement Learning for Variable Impedance Control.
IEEE Access
Academic article
2023
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Bahari Kordabad, Arash;
Reinhardt, Dirk Peter;
Sadanandan Anand, Akhil;
Gros, Sebastien Nicolas.
(2023)
Reinforcement Learning for MPC: Fundamentals and Current Challenges.
IFAC-PapersOnLine
Academic article
-
Sadanandan Anand, Akhil;
Reinhardt, Dirk Peter;
Sawant, Shambhuraj Vijaysinh;
Gravdahl, Jan Tommy;
Gros, Sebastien Nicolas.
(2023)
A Painless Deterministic Policy Gradient Method for Learning-based MPC
.
IEEE conference proceedings
Academic chapter/article/Conference paper
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Sadanandan Anand, Akhil;
Gravdahl, Jan Tommy;
Abu-Dakka, Fares J..
(2023)
Model-based variable impedance learning control for robotic manipulation.
Robotics and Autonomous Systems
Academic article
2022
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Sadanandan Anand, Akhil;
Myrestrand, Martin Hagen;
Gravdahl, Jan Tommy.
(2022)
Evaluation of Variable Impedance-and Hybrid Force/MotionControllers for Learning Force Tracking Skills.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
2021
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Sadanandan Anand, Akhil;
Østvik, Andreas;
Grøtli, Esten Ingar;
Vagia, Marialena;
Gravdahl, Jan Tommy.
(2021)
Real-time temporal adaptation of dynamic movement primitives for moving targets.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Håkansson, Anne;
Saad, Aya;
Sadanandan Anand, Akhil;
Gjærum, Vilde Benoni;
Robinson, Haakon;
Seel, Katrine.
(2021)
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments.
Procedia Computer Science
Academic article
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Sadanandan Anand, Akhil;
Seel, Katrine;
Gjærum, Vilde Benoni;
Håkansson, Anne;
Robinson, Haakon;
Saad, Aya.
(2021)
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review.
Procedia Computer Science
Academic article
2019
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Sadanandan Anand, Akhil.
(2019)
A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model.
IEEE-RAS International Conference on Humanoid Robots
Academic article
Journal publications
-
Sadanandan Anand, Akhil;
Kaushik, Rituraj;
Gravdahl, Jan Tommy;
Abu-Dakka, Fares J..
(2024)
Data-Efficient Reinforcement Learning for Variable Impedance Control.
IEEE Access
Academic article
-
Bahari Kordabad, Arash;
Reinhardt, Dirk Peter;
Sadanandan Anand, Akhil;
Gros, Sebastien Nicolas.
(2023)
Reinforcement Learning for MPC: Fundamentals and Current Challenges.
IFAC-PapersOnLine
Academic article
-
Sadanandan Anand, Akhil;
Gravdahl, Jan Tommy;
Abu-Dakka, Fares J..
(2023)
Model-based variable impedance learning control for robotic manipulation.
Robotics and Autonomous Systems
Academic article
-
Håkansson, Anne;
Saad, Aya;
Sadanandan Anand, Akhil;
Gjærum, Vilde Benoni;
Robinson, Haakon;
Seel, Katrine.
(2021)
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments.
Procedia Computer Science
Academic article
-
Sadanandan Anand, Akhil;
Seel, Katrine;
Gjærum, Vilde Benoni;
Håkansson, Anne;
Robinson, Haakon;
Saad, Aya.
(2021)
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review.
Procedia Computer Science
Academic article
-
Sadanandan Anand, Akhil.
(2019)
A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model.
IEEE-RAS International Conference on Humanoid Robots
Academic article
Part of book/report
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Sadanandan Anand, Akhil;
Reinhardt, Dirk Peter;
Sawant, Shambhuraj Vijaysinh;
Gravdahl, Jan Tommy;
Gros, Sebastien Nicolas.
(2023)
A Painless Deterministic Policy Gradient Method for Learning-based MPC
.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Sadanandan Anand, Akhil;
Myrestrand, Martin Hagen;
Gravdahl, Jan Tommy.
(2022)
Evaluation of Variable Impedance-and Hybrid Force/MotionControllers for Learning Force Tracking Skills.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Sadanandan Anand, Akhil;
Østvik, Andreas;
Grøtli, Esten Ingar;
Vagia, Marialena;
Gravdahl, Jan Tommy.
(2021)
Real-time temporal adaptation of dynamic movement primitives for moving targets.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Outreach
2023
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Academic lectureSadanandan Anand, Akhil; Sawant, Shambhuraj Vijaysinh; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy. (2023) A Painless Deterministic Policy Gradient Method for Learning-based MPC . IEEE ECC 2023 , Bucharest 2023-06-14 - 2023-06-16
2022
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Academic lectureSadanandan Anand, Akhil; Gravdahl, Jan Tommy; Myrestrand, Martin Hagen. (2022) Evaluation of Variable Impedance-and Hybrid Force/MotionControllers for Learning Force Tracking Skills. IEEE 2022 IEEE/SICE International Symposium on System Integration , Online 2022-01-09 - 2022-01-12
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Academic lectureSadanandan Anand, Akhil; Gravdahl, Jan Tommy; Kveen, Jens Erik; Grøtli, Esten Ingar; Abu-Dakka, Fares. (2022) Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. IEEE ICMLA 2022 : IEEE International conference on Machine Learning and Applications , Bahamas 2022-12-12 - 2022-12-14
2021
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Academic lectureGjærum, Vilde Benoni; Håkansson, Anne; Robinson, Haakon; Saad, Aya; Sadanandan Anand, Akhil; Seel, Katrine. (2021) The International Robust AI Workshop. The 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems , Szczecin 2021-09-08 - 2021-09-10