Results 11 to 20 of about 4,605,857 (269)

TapMo: Shape-aware Motion Generation of Skeleton-free Characters [PDF]

open access: yesCoRR, 2023
Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we present TapMo, a Text-driven Animation Pipeline for synthesizing Motion in a broad spectrum of skeleton-free 3D characters.
Jiaxu Zhang   +6 more
core   +5 more sources

Robotic Stroke Motion Following the Shape of the Human Back: Motion Generation and Psychological Effects [PDF]

open access: yesCoRR
ICRA 2024 Workshop on Nursing ...
Akishige Yuguchi   +4 more
openaire   +3 more sources

Shape-Dependent Photomechanical Motions of Cyanostilbene-Based Molecular Crystals

open access: yes, 2022
Photomechanical dynamic molecular crystals provide a platform for the transition from photo energy to mechanical motions. However, the development of modulating multiple photomechanical modes through crystal size tuning is in the preliminary stage.
Xi Ma (201011)   +4 more
core   +5 more sources

Planning rigid body motions using elastic curves [PDF]

open access: yes, 2008
This paper tackles the problem of computing smooth, optimal trajectories on the Euclidean group of motions SE(3). The problem is formulated as an optimal control problem where the cost function to be minimized is equal to the integral of the classical ...
Biggs, James   +4 more
core   +4 more sources

Mathematical Properties of Generalized Shape Expansion-Based Motion Planning Algorithms

open access: yesCoRR, 2021
Motion planning is an essential aspect of autonomous systems and robotics and is an active area of research. A recently-proposed sampling-based motion planning algorithm, termed 'Generalized Shape Expansion' (GSE), has been shown to possess significant improvement in computational time over several existing well-established algorithms. The GSE has also
Adhvaith Ramkumar   +2 more
openaire   +2 more sources

Co-generation of Collision-Free Shapes for Arbitrary One-Parametric Motion

open access: yesComputer-Aided Design, 2022
Mechanical assemblies can exhibit complex relative motions, during which collisions between moving parts and their surroundings must be avoided. To define feasible design spaces for each part's shape, "maximal" collision-free pointsets can be computed using configuration space modeling techniques such as Minkowski operations and sweep/unsweep.
Clinton B. Morris, Morad Behandish
openaire   +4 more sources

Integrable quadratic Hamiltonians on the Euclidean group of motions [PDF]

open access: yes, 2010
This paper tackles the problem of globally computing sub-Riemannian curves on the Euclidean group of motions SE(3). In particular we derive a global result for special sub-Riemannian curves for which their Hamiltonian satisfies a particular condition ...
Biggs, James, Holderbaum, William
core   +4 more sources

SHAPE-ID Toolkit Resources - Co-create a Research Project

open access: yes, 2021
Increasingly, academic research and the broader generation and sharing of knowledge are taking place not just across different disciplines within research-performing organisations but among a much wider range of stakeholders who may have different forms ...
SHAPE-ID
core   +1 more source

Direct Recovery of Motion and Shape in the General Case by Fixation [PDF]

open access: yes[1990] Proceedings Third International Conference on Computer Vision, 1990
A direct method called fixation is introduced for solving the general motion vision problem: arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation that explicitly expresses the rotational velocity in terms of the translational velocity.
openaire   +1 more source

Generalizing demonstrated motion trajectories using coordinate-free shape descriptors [PDF]

open access: yesRobotics and Autonomous Systems, 2019
Abstract In learning by demonstration, the generalization of motion trajectories far away from the set of demonstrations is often limited by the dependency of the learned models on arbitrary coordinate references. Trajectory shape descriptors have the potential to remove these dependencies by representing demonstrated trajectories in a coordinate ...
Vochten, Maxim   +2 more
openaire   +3 more sources

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