Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
Interactive character animation using simulated physics: A state‐of‐the‐art review
T Geijtenbeek, N Pronost - Computer graphics forum, 2012 - Wiley Online Library
Physics simulation offers the possibility of truly responsive and realistic animation. Despite
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …
Watch your step: Real-time adaptive character stepping
B Kenwright - arXiv preprint arXiv:2210.14730, 2022 - arxiv.org
An effective 3D stepping control algorithm that is computationally fast, robust, and easy to
implement is extremely important and valuable to character animation research. In this …
implement is extremely important and valuable to character animation research. In this …
Composite motion learning with task control
We present a deep learning method for composite and task-driven motion control for
physically simulated characters. In contrast to existing data-driven approaches using …
physically simulated characters. In contrast to existing data-driven approaches using …
A survey on human performance capture and animation
With the rapid development of computing technology, three-dimensional (3D) human body
models and their dynamic motions are widely used in the digital entertainment industry …
models and their dynamic motions are widely used in the digital entertainment industry …
Momentum-mapped inverted pendulum models for controlling dynamic human motions
T Kwon, JK Hodgins - ACM Transactions on Graphics (TOG), 2017 - dl.acm.org
Designing a unified framework for simulating a broad variety of human behaviors has
proven to be challenging. In this article, we present an approach for control system design …
proven to be challenging. In this article, we present an approach for control system design …
A gan-like approach for physics-based imitation learning and interactive character control
P Xu, I Karamouzas - Proceedings of the ACM on Computer Graphics …, 2021 - dl.acm.org
We present a simple and intuitive approach for interactive control of physically simulated
characters. Our work builds upon generative adversarial networks (GAN) and reinforcement …
characters. Our work builds upon generative adversarial networks (GAN) and reinforcement …
Momentum-based reactive stepping controller on level and non-level ground for humanoid robot push recovery
This paper presents a momentum-based reactive stepping controller for humanoid robot
push recovery. By properly regulating combinations of linear and angular momenta, the …
push recovery. By properly regulating combinations of linear and angular momenta, the …
Real-Time Reactive Biped Characters: Staying Upright and Balanced
B Kenwright - Transactions on Computational Science XVIII: Special …, 2013 - Springer
In this paper, we present a real-time technique of generating reactive balancing biped
character motions for used in time critical systems, such as games. Our method uses a low …
character motions for used in time critical systems, such as games. Our method uses a low …
Adaptive motion synthesis for virtual characters: a survey
Character motion synthesis is the process of artificially generating natural motion for a virtual
character. In film, motion synthesis can be used to generate difficult or dangerous stunts …
character. In film, motion synthesis can be used to generate difficult or dangerous stunts …