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Found 8 papers, 3 papers with code
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
It interfaces with the new generation of Gazebo, part of the Ignition Robotics suite, which provides three main improvements for reinforcement learning applications compared to the alternatives: 1) the modular architecture enables using the simulator as a C++ library, simplifying the interconnection with external software; 2) multiple physics and rendering engines are supported as plugins, simplifying their selection during the execution; 3) the new distributed simulation capability allows simulating complex scenarios while sharing the load on multiple workers and machines.
Controlled Tactile Exploration and Haptic Object Recognition
The method is composed of a grasp stabilization controller and two exploratory behaviours to capture the shape and the softness of an object.
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
Incremental Robot Learning of New Objects with Fixed Update Time
We consider object recognition in the context of lifelong learning, where a robotic agent learns to discriminate between a growing number of object classes as it accumulates experience about the environment.
Incremental Semiparametric Inverse Dynamics Learning
This paper presents a novel approach for incremental semiparametric inverse dynamics learning.
Gaze Stabilization for Humanoid Robots: a Comprehensive Framework
In this work we propose a comprehensive framework for gaze stabilization in a humanoid robot.
Ask the Image: Supervised Pooling to Preserve Feature Locality
In this paper we propose a weighted supervised pooling method for visual recognition systems.
iCub World: Friendly Robots Help Building Good Vision Data-Sets
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform.
