Abstract: To develop a safe and efficient navigation system of robotic vehicles in dynamic scenes, a new collision-avoidance method using deep reinforcement learning (DRL) is presented. First, a novel ...

The "Dataset" folder contains the cube and cylinder data divided per class for 40 and 80 samples extracted from the grasp peaks. For each kind of objects we collected five classes, i.e. five hardness ...

A sixteen-joint snake robot with full-body surface pressure sensing capabilities has been developed. A total of 64 thin film pressure sensors are evenly distributed on the surface of the robot. Four ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off. Ajay has worked in tech ...

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Object avoidance is a tough nut to crack on robot vacuums, but Narwal's new Flow 2 promises it has the best yet with a mix of on-board processing and AI cloud computing. Ajay has worked in tech ...

Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects—precisely the kinds of ...