Researchers at Rutgers University have recently developed a probabilistic approach for building 3-D models of unknown objects while they are being manipulated by a robot. Their approach, outlined in a paper pre-published on arXiv, uses a physics engine to verify...
Many animals and microorganisms are able to complete complex tasks, such as finding food or building nests, as a team, or "swarm." One of the most obvious examples of this is bees, as their survival as a group heavily depends upon cooperation with other members of...
Numerous countries worldwide are currently facing major problems related to waste collection, particularly in urban areas, due to the large amount of waste generated daily by the population. Technology could play a significant role in tackling these issues, for...
Researchers at the University of Utah have recently developed a probabilistic grasp planner that can explicitly model grasp types to plan high-quality precision and power grasps in real time. Their supervised learning approach, outlined in a paper pre-published on...
In order to complete complex everyday tasks such as using equipment, cooking or building furniture, robots should be able to plan their actions and manipulate objects in their surroundings. So far, however, teaching robots to complete complicated tasks, such as those...
Researchers at Karlsruhe Institute of Technology in Germany have recently developed an interactive drone designed to assist humans in indoor environments such offices or laboratories. In a paper prepublished on arXiv, the researchers presented the results achieved by...
A key challenge for robotics researchers is developing systems that can interact with humans and their surrounding environment in situations that involve varying degrees of uncertainty. In fact, while humans can continuously learn from their experiences and perceive...
Researchers at the University of Hertfordshire have recently proposed an easy and configurable technique that enhances a robot's ability to perceive and interact with people in its surroundings. Their technique, presented in a paper pre-published on arXiv, utilizes...
Researchers at Anhui University in China have recently developed a new method to enable sliding mode control in a class of nonlinear positive Markov jumping systems (MJSs) with uncertain parameters. Their approach is outlined in a paper published in Springer's...
Researchers at CHILI Lab (Ecole Polytechnique Fédérale de Lausanne) in Switzerland and GAIPS Lab (University of Lisbon) in Portugal have recently developed an autonomous system designed to assist children in improving their handwriting skills. The system they created,...