MIT scientists working with Google DeepMind researchers have developed an AI-driven robot that can ‘turn ideas into physical objects’ based on simple text descriptions. The researchers say their robot ...

The Doosan robot is equipped with sensors to detect obstacles in its environment. This project leverages the RRT* algorithm to generate an optimal path from a start point to a goal point while ...

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 ...

Abstract: Control barrier functions (CBFs) have proven to be effective for obstacle avoidance in robot teleoperation systems. However, for classical CBF, model uncertainties and external disturbances ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools ...

Google DeepMind recently demonstrated that Apptronik’s Apollo robot can perform complex tasks using objects it had never encountered before. In the showcase, the robot is seen handling oddly shaped or ...

The researchers demonstrated that the vine robot can safely and stably lift a variety of heavy and fragile objects, like a watermelon.Kentaro Barhydt and Harry Asada Engineers have long looked to ...

Abstract: In the field of multimobile robots (MMRs), object recognition and obstacle avoidance are fundamental capabilities to ensure autonomous navigation and safe task execution, particularly in ...