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Found 8 papers, 2 papers with code
AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction
To achieve seamless collaboration between robots and humans in a shared environment, accurately predicting future human movements is essential.
Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives
In Robust Control and Data Driven Robust Control design methodologies, multiple plant transfer functions or a family of transfer functions are considered and a common controller is designed such that all the plants that fall into this family are stabilized.
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Diffusion models have risen as a powerful tool in robotics due to their flexibility and multi-modality.
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Diffusion generative modeling has become a promising approach for learning robotic manipulation tasks from stochastic human demonstrations.
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
The spatial roto-translation equivariance, or the SE(3)-equivariance can be exploited to improve the sample efficiency for learning robotic manipulation.
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service
The task planning unit assigns tasks to each robot simultaneously through a single coalesced BT.
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
By exploiting the modularity, interpretability can also be achieved by observing the modules that are used in the new task if each of the skills is known.
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
Our method is formulated as a nonlinear least squares estimator with L1-regularization on the deviation of parameters from a set of typical values.
