Literature points to persistent issues in human-automation interaction, which are caused
either when the human does not understand the automation or when the automation does …

With the availability of modern assistive techniques, ambient intelligence, and the Internet of
Things (IoT), various innovative assistive environments have been developed, such as …

Robustness and flexibility constitute the main advantages of multiple-robot systems with
respect to single-robot ones as per the recent literature. The use of multiple unmanned …

In this paper, a novel decentralized control strategy for bilaterally teleoperating
heterogeneous groups of mobile robots from different domains (aerial, ground, marine, and …

Unmanned aerial vehicles (UAVs) play an invaluable role in information collection and data
fusion. Because of their mobility and the complexity of deployed environments, constant …

Haptic interfaces can recreate the experience of touch and are necessary to improve human–
robot interactions. However, at present, haptic interfaces are either electromechanical …

This paper proposes a novel Dynamic Adaptive Ant Lion Optimizer (DAALO) for route
planning of unmanned aerial vehicle. Ant Lion Optimizer (ALO) is a new intelligent algorithm …

Self-learning approaches, such as reinforcement learning, offer new possibilities for
autonomous control of uncertain or time-varying systems. However, exploring an unknown …

This article proposes a control algorithm for obstacle avoidance and trajectory tracking for a
redundant‐manipulator in smart‐homes. The redundancy provides dexterity and flexibility …

The growth of scale and complexity of interactions between humans and robots highlights
the need for new computational methods to automatically evaluate novel algorithms and …