Researchers at UC Berkeley and Facebook AI Research have recently developed a new approach for robot navigation in unknown environments. Their approach, presented in a paper pre-published on arXiv, combines model-based control techniques with learning-based perception.
Artificial intelligence and robotics architectures are often inspired by patterns occurring in nature, both in humans and animals. Patterns of movement observed in animals have been replicated in robots via a number of shape-changing mechanisms such as chemical...
In recent years, research teams worldwide have been using reinforcement learning (RL) to teach robots how to complete a variety of tasks. Training these algorithms, however, can be very challenging, as it also requires substantial human efforts in properly defining...
Researchers at the Robert Bosch center for cyber physical systems in Bangalore, India, have recently proposed a simulation framework to systematically study the effects of spinal joint actuation on the locomotion performance of quadruped robots. In their study,...
Swarms of small spacecraft could have a variety of interesting applications, particularly in terms of Earth observation, global positioning and communications. Compared to large spacecraft, small spacecraft provide greater apertures, allowing for better observation of...
Researchers at the BioRobotics Institute of Scuola Superiore Sant"Anna, Co-Robotics srl and Sheffield Hallam University have recently proposed a new approach to improve interactions between humans and robots as they are walking together. Their paper, published in...
Researchers at Stanford University have recently created an open-source quadruped robot called Stanford Doggo. Their robot, presented in a paper pre-published on arXiv and set to be published by IEEE Explore, exceeds the performance of many state-of-the-art legged...
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Russia have recently introduced a new strategy to enhance interactions between humans and robotic swarms, called SwarmTouch. This strategy, presented in a paper pre-published on arXiv,...
Researchers at UC Berkeley have developed a reproducible, low-cost and compact benchmark platform to evaluate robotic learning approaches, which they called REPLAB. Their recent study, presented in a paper pre-published on arXiv, was supported by Berkeley DeepDrive,...
Over the past decade or so, advancements in machine learning have enabled the development of systems that are increasingly autonomous, including self-driving vehicles, virtual assistants and mobile robots. Among other things, researchers developing autonomous systems...