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Daniel Bruder
Daniel Bruder
Assistant Professor of Mechanical Engineering, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Data-driven control of soft robots using Koopman operator theory
D Bruder, X Fu, RB Gillespie, CD Remy, R Vasudevan
IEEE Transactions on Robotics 37 (3), 948-961, 2020
2102020
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control
D Bruder, B Gillespie, CD Remy, R Vasudevan
2019 Robotics: Science and Systems, 2019
1882019
Nonlinear system identification of soft robot dynamics using Koopman operator theory
D Bruder, CD Remy, R Vasudevan
2019 IEEE International Conference on Robotics and Automation (ICRA), 2019
1252019
Advantages of bilinear Koopman realizations for the modeling and control of systems with unknown dynamics
D Bruder, X Fu, R Vasudevan
IEEE Robotics and Automation Letters 6 (3), 4369-4376, 2021
962021
Koopman-based control of a soft continuum manipulator under variable loading conditions
D Bruder, X Fu, RB Gillespie, CD Remy, R Vasudevan
IEEE Robotics and Automation Letters 6 (4), 6852-6859, 2021
792021
A continuum model for fiber-reinforced soft robot actuators
A Sedal, D Bruder, J Bishop-Moser, R Vasudevan, S Kota
Journal of Mechanisms and Robotics 10 (2), 024501, 2018
532018
Force Generation by Parallel Combinations of Fiber-Reinforced Fluid-Driven Actuators
D Bruder, A Sedal, R Vasudevan, CD Remy
IEEE Robotics and Automation Letters 3 (4), 3999 - 4006, 2018
342018
Model based control of fiber reinforced elastofluidic enclosures
D Bruder, A Sedal, J Bishop-Moser, S Kota, R Vasudevan
2017 IEEE International Conference on Robotics and Automation (ICRA), 5539-5544, 2017
202017
Increasing the payload capacity of soft robot arms by localized stiffening
D Bruder, MA Graule, CB Teeple, RJ Wood
Science Robotics 8 (81), eadf9001, 2023
152023
The chain-link actuator: Exploiting the bending stiffness of McKibben artificial muscles to achieve larger contraction ratios
D Bruder, RJ Wood
IEEE Robotics and Automation Letters 7 (1), 542-548, 2021
122021
A constitutive model for torsional loads on fluid-driven soft robots
A Sedal, D Bruder, J Bishop-Moser, R Vasudevan, S Kota
International Design Engineering Technical Conferences and Computers and …, 2017
112017
Modeling and control of soft robots using the koopman operator and model predictive control. arXiv 2019
D Bruder, B Gillespie, CD Remy, R Vasudevan
arXiv preprint arXiv:1902.02827, 0
9
Emulating duration and curvature of coral snake anti-predator thrashing behaviors using a soft-robotic platform
SM Danforth, M Kohler, D Bruder, ARD Rabosky, S Kota, R Vasudevan, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 5068-5074, 2020
82020
A proprioceptive method for soft robots using inertial measurement units
YJ Martin, D Bruder, RJ Wood
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Towards a universal modeling and control framework for soft robots
D Bruder
42020
Koopman operators in robot learning
L Shi, M Haseli, G Mamakoukas, D Bruder, I Abraham, T Murphey, ...
arXiv preprint arXiv:2408.04200, 2024
22024
A Koopman-based residual modeling approach for the control of a soft robot arm
D Bruder, D Bombara, RJ Wood
The International Journal of Robotics Research, 02783649241272114, 2024
12024
The “Fluid Jacobian”: Modeling force-motion relationships in fluid-driven soft robots
CD Remy, Z Brei, D Bruder, J Remy, K Buffinton, RB Gillespie
The International Journal of Robotics Research 43 (5), 628-645, 2024
2024
Modeling and Experimental Validation of High‐Flow Fluid‐Driven Membrane Valves for Hyperactuated Soft Robots
T Dai, N Velimirović, P Zalles, D Bruder, K Buffinton, RB Gillespie, ...
Advanced Intelligent Systems, 2300864, 2024
2024
Erratum:“A Continuum Model for Fiber-Reinforced Soft Robot Actuators”[ASME J. Mech. Rob., 2018, 10 (2), p. 024501; DOI: 10.1115/1.4039101]
A Sedal, D Bruder, J Bishop-Moser, R Vasudevan, S Kota
Journal of Mechanisms and Robotics 12 (5), 057001, 2020
2020
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Articles 1–20