Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

In human environments, robots are expected to accomplish a variety of manipulation tasks
given simple natural language instructions. Yet, robotic manipulation is extremely …

For human-robot collaboration (HRC), one of the most practical methods to ensure human
safety with a vision-based system is establishing a minimum safe distance. This study …

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …

The occurrence of long-tailed distributions and unavailability of high-quality annotated
images is a common phenomenon in medical datasets. The use of conventional Deep …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Neural circuits with specific structures and diverse neuronal firing features are the
foundation for supporting intelligent tasks in biology and are regarded as the driver for …