Behavioural cloning, where a computer is taught to perform a task based on demonstrations, has been successfully applied to various video games and robotics tasks, with and without reinforcement learning. This also includes end-to-end approaches, whe...
Inspired by recent promising results in sim-to-real transfer in deep learning we built a realistic simulation environment combining a Robot Operating System (ROS)-compatible physics simulator (Gazebo) with Cycles, the realistic production rendering e...
We need much better understanding of information processing and computation as its primary form. Future progress of new computational devices capable of dealing with problems of big data, internet of things, semantic web, cognitive robotics and neuro...
# [A Daily Chronicle of AI Innovations on January 13-14th 2025](https://apps.apple.com/ca/app/master-ai-machine-learning-pro/id1610947211) # ? [OpenAI Publishes U.S. Blueprint for ‘Shared Prosp...
Hey everyone, I work in the medical concierge space (MedBridgeNZ), specifically focusing on [Medical Tourism China](https://www.medbridgenz.com/). Over the last few years, I’ve noticed a massive di...
Minecraft Mod about Robots and Robotics Automation (⭐ 41)
In robotics, one of the main challenges is that the on-board Artificial Intelligence (AI) must deal with different or unexpected environments. Such AI agents may be incompetent there, while the underlying model itself may not be aware of this (e.g.,...
Action recognition is also key for applications ranging from robotics to healthcare monitoring. Action information can be extracted from the body pose and movements, as well as from the background scene. However, the extent to which deep neural netwo...
The rapid progress in AI and Robotics may lead to a profound societal transformation, as humans and robots begin to coexist within shared communities, introducing both opportunities and challenges. To explore this future, we present Virtual Community...
**Verified?** *(This bot cannot verify AMAs just yet)* **Date:** 2013-08-07 **[Link to submission](http://www.reddit.com/r/IAmA/comments/1jwmju/)** (*Has self-text*) Questions|Answers :--|:-- [I'...
Digital topology has its own working conditions and sometimes differs from the normal topology. In the area of topological robotics, we have important counterexamples in this study to emphasize this red line between a digital image and a topological...
We define digital $m-$homotopic distance and its higher version. We also mention related notions such as $m-$category in the sense of Lusternik-Schnirelmann and $m-$complexity in topological robotics. Later, we examine the homotopy invariance or $m-$...
SLAM is a foundational technique with broad applications in robotics and AR/VR. SLAM simulations evaluate new concepts, but testing on resource-constrained devices, such as VR HMDs, faces challenges: high computational cost and restricted sensor data...
This volume represents the proceedings of the 2nd Workshop on Robots in Clutter: Preparing robots for the real world, held June 27, 2013, at the Robotics: Science and Systems conference in Berlin, Germany....
As robotics systems become more distributed, the communications between different robot modules play a key role for the reliability of the overall robot control. In this paper, we present a study of the Linux communication stack meant for real-time r...
This paper presents a novel ontology-driven software engineering approach for the development of industrial robotics control software. It introduces the ReApp architecture that synthesizes model-driven engineering with semantic technologies to facili...
Multi-objective optimization problems are ubiquitous in robotics, e.g., the optimization of a robot manipulation task requires a joint consideration of grasp pose configurations, collisions and joint limits. While some demands can be easily hand-desi...
Robotic knot-tying represents a fundamental challenge in robotics due to the complex interactions between deformable objects and strict topological constraints. We present TWISTED-RL, a framework that improves upon the previous state-of-the-art in de...
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists, since the knowledge of the environment is a prerequisite for complex n...
ROS2 implementation of inverse kinematics for a three-wheeled omnidirectional robot with gRPC-based motor control. Developed as part of the undergraduate course "Intelligent Robotics Implementation." (⭐ 0)