In this chapter, artificially intelligent assistive robotics for medical applications have been
discussed. The voice identification, object identification, grasping, feature selection, and …

This work pursues the potential of extending “Industry 4.0” practices to farming toward
achieving “Agriculture 4.0”. Our interest is in fruit harvesting, motivated by the problem of …

Motion planning is a fundamental problem in autonomous robotics with real-time and low-
energy requirements for safe navigation through a dynamic environment. More than 90% of …

Humanoid robots possess remarkable mobility and adaptability for diverse environments.
Nonetheless, accurate walking pattern tracking remains challenging, especially when …

Motion planning in dynamic environments is an important task for autonomous robotics.
Emerging approaches employ neural networks that can learn by observing (eg, human) …

At CERN, radiation surveys of equipment and beam lines are important for safety and
analysis throughout the accelerator complex. Radiation measurements are highly …

Key innovative technologies for I4. 0 are Internet of Things (IoT), Cyber-Physical Systems
(CPSs), self-organizing machines (M2M), cloud computing, big data and Mixed Reality (MR) …

Autonomous robots have great potential to improve our day-to-day lives. Hence, their
demand for real-time and safety-critical tasks is increasing, including medical care, home …