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Arndt F. Schilling
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2020 – today
- 2024
- [i5]Sharmita Dey, Arndt F. Schilling:
Embracing Large Language and Multimodal Models for Prosthetic Technologies. CoRR abs/2403.04974 (2024) - [i4]Sharmita Dey, Benjamin Paassen, Sarath R. Nair, Sabri Boughorbel, Arndt F. Schilling:
Continual Imitation Learning for Prosthetic Limbs. CoRR abs/2405.01114 (2024) - 2023
- [j3]Sharmita Dey, Arndt F. Schilling:
A Function Approximator Model for Robust Online Foot Angle Trajectory Prediction Using a Single IMU Sensor: Implication for Controlling Active Prosthetic Feet. IEEE Trans. Ind. Informatics 19(2): 1467-1475 (2023) - [c11]Sharmita Dey, Niklas De Schultz, Arndt F. Schilling:
Why Hard Code the Bionic Limbs When They Can Learn From Humans? ICORR 2023: 1-6 - 2022
- [c10]Sharmita Dey, Arndt F. Schilling:
Data-driven Gait-predictive Model for Anticipatory Prosthesis Control. ICORR 2022: 1-6 - [c9]Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-Akbar Agha-Mohammadi:
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. IROS 2022: 4338-4343 - [i3]Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-akbar Agha-mohammadi:
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. CoRR abs/2208.00322 (2022) - 2021
- [j2]Jeremy Mouchoux, Miguel A. Bravo-Cabrera, Strahinja Dosen, Arndt F. Schilling, Marko Markovic:
Impact of Shared Control Modalities on Performance and Usability of Semi-autonomous Prostheses. Frontiers Neurorobotics 15: 768619 (2021) - [j1]Jeremy Mouchoux, Stefano Carisi, Strahinja Dosen, Dario Farina, Arndt F. Schilling, Marko Markovic:
Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort. IEEE Trans. Robotics 37(4): 1298-1312 (2021) - [c8]Tatyana Ivanovska, Andrian O. Paulus, Robert Martin, Babak Panahi, Arndt F. Schilling:
On Efficient Extraction of Pelvis Region from CT Data. Bildverarbeitung für die Medizin 2021: 270-275 - [c7]Mahdy Eslamy, Arndt F. Schilling:
Gait Percent Estimation during Walking and Running using Sagittal Shank or Thigh Angles. HUMANOIDS 2021: 370-375 - [i2]Sharmita Dey, Takashi Yoshida, Robert H. Foerster, Michael Ernst, Thomas Schmalz, Rodrigo Matos Carnier, Arndt F. Schilling:
A hybrid approach for dynamically training a torque prediction model for devising a human-machine interface control strategy. CoRR abs/2110.03085 (2021) - [i1]Sharmita Dey, Sabri Boughorbel, Arndt F. Schilling:
Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion. CoRR abs/2111.07419 (2021) - 2020
- [c6]Mahdy Eslamy, Felix Oswald, Arndt F. Schilling:
Motion Planning for Active Prosthetic Knees. BioRob 2020: 465-470 - [c5]Mahdy Eslamy, Felix Oswald, Arndt F. Schilling:
Mapping Thigh Motion to Knee Motion: Implications for Motion Planning of Active Prosthetic Knees. IROS 2020: 4120-4125
2010 – 2019
- 2019
- [c4]Sharmita Dey, Takashi Yoshida, Michael Ernst, Thomas Schmalz, Arndt F. Schilling:
A Random Forest Approach for Continuous Prediction of Joint Angles and Moments During Walking: An Implication for Controlling Active Knee-Ankle Prostheses/Orthoses. CBS 2019: 66-71 - [c3]Sharmita Dey, Mahdy Eslamy, Takashi Yoshida, Michael Ernst, Thomas Schmalz, Arndt F. Schilling:
A Support Vector Regression Approach for Continuous Prediction of Ankle Angle and Moment During Walking: An Implication for Developing a Control Strategy for Active Ankle Prostheses. ICORR 2019: 727-733 - 2018
- [c2]Mahdy Eslamy, Arndt F. Schilling:
A Conceptual High Level Controller to Walk with Active Foot Prostheses/Orthoses. BioRob 2018: 1224-1229 - 2017
- [c1]Meike A. Schweisfurth, Jennifer Ernst, Ivan Vujaklija, Arndt F. Schilling, Dario Farina, Oskar C. Aszmann, Gunther Felmerer:
Longitudinal high-density EMG classification: Case study in a glenohumeral TMR subject. ICORR 2017: 1-6
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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