Learning-based proxy collision detection for robot motion planning applications
This article demonstrates that collision detection-intensive applications such as robotic
motion planning may be accelerated by performing collision checks with a machine learning …
motion planning may be accelerated by performing collision checks with a machine learning …
Planning jerk-optimized trajectory with discrete time constraints for redundant robots
C Dai, S Lefebvre, KM Yu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
We present a method for effectively planning the motion trajectory of robots in manufacturing
tasks, the tool paths of which are usually complex and have a large number of discrete time …
tasks, the tool paths of which are usually complex and have a large number of discrete time …
Multiscale modeling in computational biomechanics
M Tawhai, J Bischoff, D Einstein… - IEEE Engineering in …, 2009 - ieeexplore.ieee.org
Biomechanics is broadly defined as the scientific discipline that investigates the effects of
forces acting on and within biological structures. The realm of biomechanics includes the …
forces acting on and within biological structures. The realm of biomechanics includes the …
Configuration space decomposition for learning-based collision checking in high-dof robots
Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in
robotics with sampling-based methods in configuration space C as one popular solution …
robotics with sampling-based methods in configuration space C as one popular solution …
A configuration-space decomposition scheme for learning-based collision checking
Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in
robotics with sampling-based methods in configuration space C as one popular solution …
robotics with sampling-based methods in configuration space C as one popular solution …
DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling using Implicit Neural Representations
Collision detection is essential to virtually all robotics applications. However, traditional
geometric collision detection methods generally require pre-existing workspace geometry …
geometric collision detection methods generally require pre-existing workspace geometry …
Scenario-based collision detection using machine learning for highly automated driving systems
M Khatun, R Jung, M Glaß - Systems Science & Control …, 2023 - Taylor & Francis
Highly Automated Driving (HAD) systems implement new features to improve the
performance, safety and comfort of partially or fully automated vehicles. The identification of …
performance, safety and comfort of partially or fully automated vehicles. The identification of …
A hybrid collision model for safety collision control
Self-collision detection and avoidance are essential for reactive control, in particular for
dynamics robots equipped with legs or arms. Yet, only few control methods are able to …
dynamics robots equipped with legs or arms. Yet, only few control methods are able to …
A scalable sampling-based optimal path planning approach via search space reduction
W Lu, D Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Many sampling strategies in Sampling-Based Planning (SBP) often consider goal and
obstacle population and may however become less efficient in large and cluttered 3D …
obstacle population and may however become less efficient in large and cluttered 3D …
ONLINE ACTIVE ENSEMBLE LEARNING FOR ROBOT COLLISION DETECTION IN DYNAMIC ENVIRONMENTS
R Zou, Y Liu, G Chu, J Zhao, H Cai - Journal of Mechanics in …, 2021 - World Scientific
In order to improve the accuracy and precision of online learning-based collision detection
methods, an online active ensemble learning for robot collision detection (OAELRCD) is …
methods, an online active ensemble learning for robot collision detection (OAELRCD) is …