Robotics

Gibson Environment: A Perceptual and Physics Simulation from Stanford and UC Berkeley Researchers

Although their presence is not as common as predicted in the 80s sci-fi movies, robots are becoming increasingly integrated into our daily lives. From...

To Enable Advanced Research on Artificial Humanoid Control, Microsoft’s Robotics Team is Releasing A Library of Pre-Trained Simulated Humanoid Control Models with Enriched Data...

Simulated humanoids present an intriguing platform for investigating motor intelligence with their ability to mimic the whole spectrum of human motion. An important area...

Researchers At Seoul National University Developed A Deep Learning Framework To Improve A Robotic Sketching Agent’s Skills

This article's primary research objective was to develop something cool with non-rule-based techniques such as deep learning; they believed drawing is cool to display...

Researchers at Microsoft Research and TUM Have Made Robots to Change Trajectory by Voice Command Using A Deep Machine Learning Model

While deploying a robot in a real environment, many obstacles can often come. Like a robot arm is deployed to pick up an object,...

Google Introduces A New AI Robot Model Called ‘PaLM-SayCan’ That Allows Alphabet-Developed Robots To Better Understand the User’s commands and Respond Correctly

PaLM-SayCan is the first implementation that uses a large-scale language model to plan for a real robot. It is a novel approach that uses...

Top Most Advanced and Artificial Intelligence (AI) Powered Military Robots in 2022

The way wars are fought has changed exponentially since world war II. Undetectable drones, ballistic missiles which can be launched from 1000s of kilometers...

Top Emerging Robotics Trends in 2022

What Is Robotics? Robotics is the combined effort of science, engineering, and technology that results in devices referred to as robots that mimic or replace...

Researchers From the Berlin Institute of Technology Introduce a New Model based on Deep Reinforcement Learning That Could Allow Mobile Robots to Follow and Guide...

With the ever-changing technology, we are witnessing advancements in technologies every day. One such advancement has come in the Assistance robots. These are primarily...

UC Berkeley Researchers Use a Dreamer World Model to Train a Variety of Real-World Robots to Learn from Experience

Robots need to learn from experience to solve complex in real-world environments. Deep reinforcement learning has been the most common approach to robot learning...

Researchers Demonstrate How Today’s Autonomous Robots, Due To Machine Learning Bias, Could Be Racist, Sexist, And Enact Malignant Stereotypes

Many detrimental prejudices and biases have been seen to be reproduced and amplified by machine learning models, with sources present at almost all phases...

Stanford and MIT CSAIL Researchers Propose ‘RoboCraft’: A Novel Framework That Allows Robots To Manipulate Deformable Materials From Visual Inputs Using Graph Neural Networks...

To perform difficult industrial and domestic tasks, robots must be able to model and manipulate elastoplastic items (e.g., stuffing dumplings, rolling sushi, and making...

Researchers at Universidade Federal de Pernambuco in Brazil Introduce a New Deep Learning-Based Framework for Robotic Arm Pose Estimation and Movement Prediction

Developers and roboticists will need to make sure that robots can work securely among humans when they are increasingly integrated into various real-world contexts....

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