This paper proposes a secondary reactive collision avoidance system for microclass of robots based on novel approach known as the furcated luminance-difference processing (FLDP) inspired by lobula giant movement detector, wide-field visual neuron located in layer locust nervous system. addresses some major challenges: obstacle proximity and direction estimation, operation GPS-denied environment with irregular lighting. Additionally, it has proven effective detecting edges independent...

As a problem-solving activity, engineering design is usually iterative involving multiple proposed solutions that are tested against predefined set of constraints. Human designers rely on their knowledge, experience, and intuition, which drawback when dealing with certain unknown problems. This easily overcome by an AI can generate test several thousand alternative to problem iteratively in the form parametric computational model. paper seeks present one such automated process development...

Social insects are known as the experts in handling complex task a collective smart way although their small brains contain only limited computation resources and sensory information. It is believed that pheromones play vital role shaping social insects' behaviours. One of key points underlying stigmergy combination different specific task. In swarm intelligence field, pheromone inspired studies usually focus one single at time, so it not clear how effectively multiple could be employed for...

Natural fliers glide and minimize wing articulation to conserve energy for endured long-range flights. Elucidating the underlying physiology of such a capability could potentially address numerous challenging problems in flight engineering. This study investigates aerodynamic characteristics an insect species called desert locust (Schistocerca gregaria) with extraordinary gliding skills at low Reynolds numbers. Here, tandem wings are subjected computational fluid dynamics (CFD) simulation...

In aviation, gliding is the most economical mode of flight explicitly appreciated by natural fliers. They achieve it high-performance wing structures evolved over millions years in nature. Among other prehistoric beings, locust a perfect example such glider capable endured transatlantic flights that could inspire practical solution to similar capabilities on micro aerial vehicles. An investigation this study demonstrates effects haemolymph flexibility several flying insect wings proving many...

Abstract Gliding is generally one of the most efficient modes flight in natural fliers that can be further emphasized aircraft industry to reduce emissions and facilitate endured flights. Natural wings being fundamentally responsible for this phenomenon are developed over millions years evolution. Artificial wings, on other hand, limited human-proposed conceptual design phase often leading sub-optimal results. However, novel Generative Design (GD) method claims produce mechanically improved...

Hands are one of the most intricate elements a humanoid due to their role as end-effectors interacting with non-linear surrounding environment. This paper aims present design bioinspired underactuated robotic hand an improved dexterity that is capable adaptive grasping and manipulation wide-range objects using dual-tendon mechanism. The proposed focused on key scalability, modularity, ease fabrication cost efficiency meet several imperative constraints space applications. These features...

Gliding is the most efficient flight mode that explicitly appreciated by natural fliers. This achieved high-performance structures developed over millions of years evolution. One such prehistoric insect, locust (Schistocerca gregaria) a perfect example glider capable endured transatlantic flights, which could potentially inspire numerous solutions to problems in aerospace engineering. However, biomimicry aerodynamic properties hindered limitations conventional as well modern fabrication...

Natural fliers glide and minimize wing articulation to conserve energy for endured long range flights. Elucidating the underlying physiology of such capability could potentially address numerous challenging problems in flight engineering. However, primitive nature bioinspired research impedes achievements, hence bypass these limitations, this study introduces a non-cooperative multiple objective optimization methodology based on novel fusion PARSEC, Nash strategy, genetic algorithms achieve...