Dtc: Deep tracking control

F Jenelten, J He, F Farshidian, M Hutter - Science Robotics, 2024 - science.org
… appealing because of intuitive cost function tuning, accurate … motion that requires the robot
to perform a turn-in-place maneuver on a small surface area of 0.94 m by 0.44 m. The robot

Theseus: A library for differentiable nonlinear optimization

L Pineda, T Fan, M Monge… - Advances in …, 2022 - proceedings.neurips.cc
… goals to find robot states or actions in motion planning [5], … Beyond this, in the library we
include standard cost functions … pose measurement, motion models, and collision costs. We also …

Receding-horizon perceptive trajectory optimization for dynamic legged locomotion with learned initialization

O Melon, R Orsolino, D Surovik… - … on Robotics and …, 2021 - ieeexplore.ieee.org
… Dynamically complex robot motion plans are commonly … The Heuristic is the traditional
MPCstyle initialization scheme … quantified by analyzing the cost and constraint violation computed …

Low-cost automation for gravity compensation of robotic arm

W Montalvo, J Escobar-Naranjo, CA Garcia… - Applied Sciences, 2020 - mdpi.com
… Several types of research works [17,18] describe approaches to the robot manipulator control
based on a compensation of non-linear gravity terms and inertial terms in the robot motion

Robogrammar: graph grammar for terrain-optimized robot design

A Zhao, J Xu, M Konaković-Luković, J Hughes… - ACM Transactions on …, 2020 - dl.acm.org
… We choose to include wheels, which enable even more forms of locomotion at the cost of …
Long-term robot motion planning for active sound source localization with Monte Carlo tree …

Tactile gym 2.0: Sim-to-real deep reinforcement learning for comparing low-cost high-resolution robot touch

Y Lin, J Lloyd, A Church… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
… The movement ranges for each random contact feature are shown in Table II. These … platform
as opening up the possibility to apply either TacTip-style or GelSight-style tactile sensors to …

Research on autonomous robots navigation based on reinforcement learning

Z Wang, H Yan, Y Wang, Z Xu, Z Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
… Traditional algorithms often rely on map information to calculate the cost function of path …
A smooth path not only reduces the robot's energy consumption and wear and tear in motion, …

Adaptive synergetic motion control for wearable knee-assistive system: a rehabilitation of disabled patients

SM Mahdi, NQ Yousif, AA Oglah, ME Sadiq… - Actuators, 2022 - mdpi.com
… by minimizing an error-cost function. Numerical simulations are … According to clinical trials
and reports, these robotic … is that the exoskeleton-like robot must be customized to fit the …

Fundamentals of motion planning for mitigating motion sickness in automated vehicles

Z Htike, G Papaioannou, E Siampis… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… According to the results, the driving style has higher impact on both motion sickness and …
[38], the contribution of each cost in the combined cost function is controlled through some …

Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait

F De Groote, A Falisse - Proceedings of the Royal …, 2021 - royalsocietypublishing.org
… However, none of the cost functions we tested predicted realistic knee flexion angles and …
torque-driven simulations that best represented an observed movement style [70]. Alternatively, …