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,...
Robotics
ROBOSHERLOCK: a system to enhance robot performance on manipulation tasks
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...
ShapeBots: a swarm of shape-shifting robots that visually display data
Researchers from the University of Colorado Boulder's ATLAS Institute have recently developed a swarm of little shape-changing robots, called ShapeBots. These self-transformable robots, presented in a paper pre-published on arXiv, can change both their individual and...
Skinflow: A soft robotic skin based on liquid transmission
Researchers at the Bristol Robotics Laboratory and the University of Bristol have recently developed a new soft robotic skin-like sensor that is based on fluidic transmission. This sensor, presented at the second IEEE International Conference on Soft Robotics...
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...
PuzzleFlex: Computing the kinematic motion of systems with loose joints
Small motions between individual parts in jigsaw puzzles, LEGO buildings, human backbones and systems of connectable modular robots can allow flexing of their entire structures. A team of researchers at Dartmouth College has recently carried out a study exploring the...
REPLAB: A low-cost benchmark platform for robotic learning
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,...