Syn Schmitt

Orcid: 0000-0002-7768-8961

According to our database1, Syn Schmitt authored at least 34 papers between 2007 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes.
IEEE Trans. Vis. Comput. Graph., November, 2024

HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality.
CoRR, 2024

GazeMotion: Gaze-guided Human Motion Forecasting.
CoRR, 2024

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements.
CoRR, 2024

ATARO: A Muscle-Driven Biorobotic Arm to Investigate Healthy and Impaired Motor Control.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

Optimizing Reflex-Based Neuromusculoskeletal Walking Model on Rough Terrain Reveals Increased Robustness and Key Stabilizing Reflexes.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction.
CoRR, 2023

Pose2Gaze: Generating Realistic Human Gaze Behaviour from Full-body Poses using an Eye-body Coordination Model.
CoRR, 2023

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models.
CoRR, 2023

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Design and Scaling of Exoskeleton Power Units Considering Load Cycles of Humans.
Robotics, 2022

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.
Proceedings of the Conference on Robot Learning, 2022

2021
Editorial: Recent Trends in Morphological Computation.
Frontiers Robotics AI, 2021

Intuitive assessment of modeled lumbar spinal motion by clustering and visualization of finite helical axes.
Comput. Biol. Medicine, 2021

Correction to: A geometry- and muscle-based control architecture for synthesising biological movement.
Biol. Cybern., 2021

A geometry- and muscle-based control architecture for synthesising biological movement.
Biol. Cybern., 2021

2020
Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.
Frontiers Robotics AI, 2020

Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy.
Frontiers Robotics AI, 2020

Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics.
Frontiers Comput. Neurosci., 2020

2019
Active Inverse Model Learning with Error and Reachable Set Estimates.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function.
Frontiers Comput. Neurosci., 2018

Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups.
Proceedings of the 25th International Conference on Mechatronics and Machine Vision in Practice, 2018

Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Corrigendum to "Comparative Sensitivity Analysis of Muscle Activation Dynamics".
Comput. Math. Methods Medicine, 2017

2016
Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements.
Frontiers Robotics AI, 2016

2015
Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping.
CoRR, 2015

Comparative Sensitivity Analysis of Muscle Activation Dynamics.
Comput. Math. Methods Medicine, 2015

Musculo-Skeletal Models as Tools to Quantify Embodiment.
Proceedings of the Thirteenth European Conference Artificial Life, 2015

2013
Theoretical Hill-Type Muscle and Stability: Numerical Model and Application.
Comput. Math. Methods Medicine, 2013

2012
Spreading out Muscle Mass within a Hill-Type Model: A Computer Simulation Study.
Comput. Math. Methods Medicine, 2012

2007
High-frequency oscillations as a consequence of neglected serial damping in Hill-type muscle models.
Biol. Cybern., 2007


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