In swarm robotics, the agents are often assumed to be identical. In this paper, we argue that the cooperation between swarms of different kinds of robots can enhance the capabilities of the robotic system — heterogeneous swarms marry the robustness and parallelism of homogeneous swarms with efficient task specialisation. A key problem of heterogeneous swarm systems is the potential complexity o...

This paper focuses on the study of genetic algorithms for evolving controllers for Micro Air Vehicles (small flying robots). Specifically, the effects of team size on the evolution of the robots are studied. The study of team sizes deals with finding an ideal number of robots to collectively perform the surveillance task of a given region. In addition, controllers for evolved robot teams are te...

We tackle the problem of forming and deploying groups of robots in a dynamic task allocation scenario. In our approach, wheeled robots carry out tasks and flying robots coordinate the formation and subsequent deployment of groups of wheeled robots. Our recruitment system is based on simple probabilistic rules inspired by the aggregation behaviour of cockroaches under shelters. The system succes...

The digital revolution is expected to surpass all previous economic transformations in scale, scope, and complexity. Digital technologies are making electrical grids more connected, reliable, sustainable. Several efforts have been made revamp the electric grid modernize century-old systems. In near future, we expect see a power grind monitoring with incredible results through artificial intelli...

Biologically Inspired Robots Most of the artificial flying robots are based on synchronous driving mechanism, while in article number 2100048, Liu Zhiwei, Yan Xiaojun, and co-workers demonstrate feasibility flight muscle using asynchronous by self-sustained electrostatic oscillations metal beams to power flapping wings without any AC circuits, which exhibits takeoff along guide rails self-adapt...

Mobile robotics is a new field. Mobile robots range from the sophisticated space robots, to the military flying robots, to the lawn mower robots at our back yard. Mobile robotics is based on many engineering and science disciplines, from mechanical, electrical and electronics engineering to computer, cognitive and social sciences (Siegwart & Nourbakhsh, 2004). A mobile robot is an autonomous or...

We describe an incremental approach towards the development of autonomous indoor flyers that use only vision to navigate in textured environments. In order to cope with the severe weight and energy constraints of such systems, we use spiking neural controllers that can be implemented in tiny micro-controllers and map visual information into motor commands. The network morphology is evolved by m...

Groups of fixed-wing robots can benefit from moving in synchrony to share sensing and communication capabilities, avoid collisions or produce visually pleasing choreographies. Synchronous motion is especially challenging when using fixed-wing robots that require continuous forward motion to fly. For such platforms, performing trajectories with forward speed lower than the minimum speed of the r...

We address the problem of applying reactive navigation methods to non-holonomic robots. Rather than embedding the motion constraints when designing a navigation method, we propose to introduce the robot’s kinematic constraints directly in the spatial representation. In this space the Ego-Kinematic Space the robot moves as a “free-flying object”. Hence, standard reactive navigation methods appli...