Abstract: The construction industry necessitates complex interactions among multiple agents (e.g., workers and robots) for efficient task execution. In this paper, we present a framework that aims at ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Researchers at the University of Pennsylvania and University of Michigan have created the world's smallest fully programmable ...
Sunday Robotics dropped a new video of their robot Memo in action performing pick-and-place actions with various objects.
It's hard not to think of 'T800' without "The Terminator" and "Skynet" coming to mind. However, EngineAI has created a robot with that exact name. This isn’t Hollywood science fiction; it’s an ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Abstract: Augmenting capabilities of human operators with multi-robot cells offers substantial advantages for increasing productivity in manufacturing applications. This synergy effectively combines ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...
For autonomous mobile robots to operate effectively in human environments, navigation must extend beyond obstacle avoidance to incorporate social awareness. Safe and fluid interaction in shared spaces ...
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