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...
Robotics
Using a simulation framework to study spine behaviors of quadruped robots
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,...
Using laser beams for communication and coordination of spacecraft swarms
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...
Using sensors to improve the interaction between humans and robots walking together
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...
Stanford Doggo: a highly agile quadruped robot
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...
SwarmTouch: A tactile interaction strategy for human-swarm communication
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,...
Solving a Rubik’s Cube with a dexterous hand
In recent years, a growing number of researchers have explored the use of robotic arms or dexterous hands to solve a variety of everyday tasks. While many of them have successfully tackled simple tasks, such as grasping or basic manipulation, complex tasks that...
Parasitic Body: A virtual reality system to study the collection of visual feedback from robotic arms
Recent advancements in robotics have enabled the development of systems to assist humans in a variety of tasks. A type of robotic system that has gained substantial popularity over the past few years is wearable robotic arms remotely operated by a third party.
PoseRBPF: A new particle filter for 6D object pose tracking
Researchers at NVIDIA, University of Washington, Stanford University, and University of Illinois Urbana-Champaign have recently developed a Rao-Blackwellized particle filter for 6-D pose tracking, called PoseRBPF. The approach can effectively estimate the 3-D...
PULP Dronet: A 27-gram nano-UAV inspired by insects
Researchers at ETH Zürich and the University of Bologna have recently created PULP Dronet, a 27-gram nano-size unmanned aerial vehicle (UAV) with a deep learning-based visual navigation engine. Their mini-drone, presented in a paper pre-published on arXiv, can run...