Spnets: Differentiable fluid dynamics for deep neural networks
In this paper we introduce Smooth Particle Networks (SPNets), a framework for integrating
fluid dynamics with deep networks. SPNets adds two new layers to the neural network …
fluid dynamics with deep networks. SPNets adds two new layers to the neural network …
Explainable hierarchical imitation learning for robotic drink pouring
To accurately pour drinks into various containers is an essential skill for service robots.
However, drink pouring is a dynamic process and difficult to model. Traditional deep …
However, drink pouring is a dynamic process and difficult to model. Traditional deep …
Robot gaining accurate pouring skills through self-supervised learning and generalization
Pouring is one of the most commonly executed tasks in humans' daily lives, whose accuracy
is affected by multiple factors, including the type of material to be poured and the geometry …
is affected by multiple factors, including the type of material to be poured and the geometry …
One-shot domain-adaptive imitation learning via progressive learning applied to robotic pouring
Traditional deep learning-based visual imitation learning techniques require a large amount
of demonstration data for model training, and the pre-trained models are difficult to adapt to …
of demonstration data for model training, and the pre-trained models are difficult to adapt to …
Learning to pour using deep deterministic policy gradients
C Do, C Gordillo, W Burgard - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
Pouring is a fundamental skill for robots in both domestic and industrial environments.
Ideally, a robot should be able to pour with high accuracy to specific, pre-defined heights …
Ideally, a robot should be able to pour with high accuracy to specific, pre-defined heights …
Versatile Control of Fluid-directed Solid Objects Using Multi-task Reinforcement Learning
We propose a learning-based controller for high-dimensional dynamic systems with coupled
fluid and solid objects. The dynamic behaviors of such systems can vary across different …
fluid and solid objects. The dynamic behaviors of such systems can vary across different …
Precision pouring into unknown containers by service robots
C Dong, M Takizawa, S Kudoh… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Service robots have developed considerably in recent years. This study aims to propose two
approaches for controlling the motion of a service robot as it pours liquid precisely from an …
approaches for controlling the motion of a service robot as it pours liquid precisely from an …
Stir to pour: Efficient calibration of liquid properties for pouring actions
Humans use simple probing actions to develop intuition about the physical behavior of
common objects. Such intuition is particularly useful for adaptive estimation of favorable …
common objects. Such intuition is particularly useful for adaptive estimation of favorable …
On the Emergence of Symmetrical Reality
Artificial intelligence (AI) has revolutionized human cognitive abilities and facilitated the
development of new AI entities capable of interacting with humans in both physical and …
development of new AI entities capable of interacting with humans in both physical and …
Triple Regression for Camera Agnostic Sim2Real Robot Grasping and Manipulation Tasks
Sim2Real (Simulation to Reality) techniques have gained prominence in robotic
manipulation and motion planning due to their ability to enhance success rates by enabling …
manipulation and motion planning due to their ability to enhance success rates by enabling …