Publications

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2022

Dave, Vedant; Rueckert, Elmar

Can we infer the full-arm manipulation skills from tactile targets? Workshop

International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX | Tags: Grasping, Manipulation, Probabilistic Movement Primitives, Tactile Sensing

Can we infer the full-arm manipulation skills from tactile targets?

Dave, Vedant; Rueckert, Elmar

Predicting full-arm grasping motions from anticipated tactile responses Inproceedings

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX | Tags: Grasping, Manipulation, Probabilistic Movement Primitives, Tactile Sensing

Predicting full-arm grasping motions from anticipated tactile responses

Leonel, Rozo; Vedant, Dave

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Conference

Conference on Robot Learning (CoRL), vol. 164, 2022.

Abstract | Links | BibTeX | Tags: Manipulation, Probabilistic Movement Primitives, Riemannian Manifolds

Orientation Probabilistic Movement Primitives on Riemannian Manifolds

2021

Denz, R.; Demirci, R.; Cansev, E.; Bliek, A.; Beckerle, P.; Rueckert, E.; Rottmann, N.

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning Inproceedings

In: International Conference on Advanced Robotics , pp. 7, 2021.

Links | BibTeX | Tags: Grasping, human motor control, Manipulation, smart sensors

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning

Tanneberg, Daniel; Ploeger, Kai; Rueckert, Elmar; Peters, Jan

SKID RAW: Skill Discovery from Raw Trajectories Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX | Tags: Manipulation, movement primitives, Probabilistic Inference

SKID RAW: Skill Discovery from Raw Trajectories

2020

Xue, H.; Boettger, S.; Rottmann, N.; Pandya, H.; Bruder, R.; Neumann, G.; Schweikard, A.; Rueckert, E.

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks Inproceedings

In: International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020.

Links | BibTeX | Tags: Manipulation, Reinforcement Learning

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks

Cartoni, E.; Mannella, F.; Santucci, V. G.; Triesch, J.; Rueckert, E.; Baldassarre, G.

REAL-2019: Robot open-Ended Autonomous Learning competition Journal Article

In: Proceedings of Machine Learning Research, vol. 123, pp. 142-152, 2020, (NeurIPS 2019 Competition and Demonstration Track).

Links | BibTeX | Tags: Manipulation, Simulation

REAL-2019: Robot open-Ended Autonomous Learning competition

2017

Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Simulation of the underactuated Sake Robotics Gripper in V-REP Inproceedings

In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX | Tags: Manipulation, Simulation

Simulation of the underactuated Sake Robotics Gripper in V-REP

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Journal Articles

Tanneberg, Daniel; Ploeger, Kai; Rueckert, Elmar; Peters, Jan

SKID RAW: Skill Discovery from Raw Trajectories Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX

Cartoni, E.; Mannella, F.; Santucci, V. G.; Triesch, J.; Rueckert, E.; Baldassarre, G.

REAL-2019: Robot open-Ended Autonomous Learning competition Journal Article

In: Proceedings of Machine Learning Research, vol. 123, pp. 142-152, 2020, (NeurIPS 2019 Competition and Demonstration Track).

Links | BibTeX

Conferences

Leonel, Rozo; Vedant, Dave

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Conference

Conference on Robot Learning (CoRL), vol. 164, 2022.

Abstract | Links | BibTeX

Inproceedings

Dave, Vedant; Rueckert, Elmar

Predicting full-arm grasping motions from anticipated tactile responses Inproceedings

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX

Denz, R.; Demirci, R.; Cansev, E.; Bliek, A.; Beckerle, P.; Rueckert, E.; Rottmann, N.

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning Inproceedings

In: International Conference on Advanced Robotics , pp. 7, 2021.

Links | BibTeX

Xue, H.; Boettger, S.; Rottmann, N.; Pandya, H.; Bruder, R.; Neumann, G.; Schweikard, A.; Rueckert, E.

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks Inproceedings

In: International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020.

Links | BibTeX

Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Simulation of the underactuated Sake Robotics Gripper in V-REP Inproceedings

In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Workshops

Dave, Vedant; Rueckert, Elmar

Can we infer the full-arm manipulation skills from tactile targets? Workshop

International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX