Rotary-wing unmanned aerial vehicles (UAVs) have the ability to operate in confined spaces and hover over point of interest, but they limited flight time endurance. Conventional contact-based charging system for UAVs has been used, it requires high landing accuracy proper docking. Instead conventional system, autonomous wireless battery outdoor conditions is proposed this paper. can be wirelessly charged using regardless yaw angle between pad, which further reduce their control complexity...

Achieving precise state estimation is needed for the unmanned aerial vehicle to perform a successful flight with high degree of stability. Nonetheless, obtaining accurate considered challenging due inaccuracies associated measurements onboard commercial-off-the-shelf inertial measurement unit. The immense vibration vehicle's rotors makes these suffer from issues like large drifts, biases, and unpredictable noise sequences. These cannot be significantly tackled using classical estimators, an...

Aerial manipulation has direct application prospects in environment, construction, forestry, agriculture, search, and rescue. It can be used to pick place objects hence for transportation of goods. perform operations environments inaccessible or unsafe human workers. This paper is a survey recent research aerial manipulation. The diverse aspects, which include the designing platforms, manipulators, grippers, control platform interaction manipulator with through forces torque. In particular,...

In this paper, a novel vision-based measurement (VBM) approach is proposed to estimate the contact force and classify materials in single grasp. This first event-based tactile sensor which utilizes recent technology of neuromorphic cameras. provides higher sensitivity, lower latency, less computational power consumption compared other conventional techniques. Moreover, dynamic vision (DVS) has range increases sensitivity performance poor lighting conditions. Two time-series machine learning...

Cellular structures are lightweight‐engineered materials that have gained much attention with the development of additive manufacturing technologies. This article introduces a precise approach to predict mechanical properties additively manufactured lattice using deep‐learning approaches. Diamond‐shaped nodal designed by varying strut length, diameter, and orientation angle. The samples laser powder bed fusion (LPBF) Ti−64 alloy subjected compression testing measure ultimate strength,...

The manufacturing industry is currently witnessing a paradigm shift with the unprecedented adoption of industrial robots, and machine vision key perception technology that enables these robots to perform precise operations in unstructured environments. However, sensitivity conventional sensors lighting conditions high-speed motion sets limitation on reliability work-rate production lines. Neuromorphic recent potential address challenges its high temporal resolution, low latency, wide dynamic...

The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to a significant challenge. Previous approaches this problem have not prioritized the reduction feature map redundancy, but introduction Ghost modules represents major innovation in area. use series inexpensive linear transformations extract additional maps from set intrinsic features, allowing for more comprehensive representation underlying...

The ability of morphing aircraft to adapt their shape in flight hinges on the incredible flexibility skins, which have multiple degrees freedom. This paper presents a compact overview latest advancements polymorphing skins for aircraft, focusing polymeric electroactive polymers, and memory polymers. It examines critical mechanical properties such as flexibility, durability, resilience that influence application wings. By detailing synthesis processes, including use natural rubber, silicone,...

Cobots play an essential role in the fourth industrial revolution and automation of complex manufacturing processes. However, cobots still face challenges achieving high precision, which obstructs their usage precise applications such as aerospace industry. Nonetheless, advances perception systems unlock new cobot capabilities. This paper presents a novel multi-functional sensor that combines visual tactile feedback using single optical sensor, featuring moving gate mechanism. work also...

Fused deposition modelling (FDM) is one of most popular 3D printing techniques thermoplastic polymers. Nonetheless, the poor mechanical strength FDM parts restricts use this technology in functional many applications such as unmanned aerial vehicles (UAVs) where lightweight, high strength, and stiffness are required. In present paper, fabrication process low-density acrylonitrile butadiene styrenecarbon (ABS) with carbon fibre reinforced polymer (CFRP) sandwich layers for UAV structure...

Vision-based localization systems, namely visual odometry (VO) and inertial (VIO), have attracted great attention recently. They are regarded as critical modules for building fully autonomous systems. The simplicity of state estimators, along with their applicability in resource-constrained platforms motivated robotic community to research develop novel approaches that maximize robustness reliability. In this paper, we surveyed state-of-the-art VO VIO approaches. addition, studies related...

In today's modern electric vehicles, enhancing the safety-critical cyber-physical system (CPS)'s performance is necessary for safe maneuverability of vehicle. As a typical CPS, braking crucial vehicle design and control. However, precise state estimation brake pressure desired to perform driving with high degree autonomy. this paper, sensorless technique vehicle's developed using deep-learning approach. A deep neural network (DNN) structured trained training techniques, such as, dropout...

Abstract Robotic vision plays a key role for perceiving the environment in grasping applications. However, conventional framed-based robotic vision, suffering from motion blur and low sampling rate, may not meet automation needs of evolving industrial requirements. This paper, first time, proposes an event-based framework multiple known unknown objects cluttered scene. With advantages microsecond-level rate no event camera, model-based model-free approaches are developed objects’...

Unmanned aerial vehicles (UAVs) have shown promising benefits in many applications. This has been enabled by the emergence of additive manufacturing (AM), which give designers a large amount geometrical freedom. In this paper, novel design process fused deposition modeling (FDM) combining both topology and infill optimization is introduced for AM high performance porous structures. Tensile testing FDM printed samples first carried out to study effect build orientation on mechanical...

In this paper, a novel approach to detect incipient slip based on the contact area between transparent silicone medium and different objects using neuromorphic event-based vision sensor (DAVIS) is proposed. Event-based algorithms are developed slip, stress distribution object vibration. Thirty-seven experiments were performed five with sizes, shapes, materials weights compare precision response time of proposed approach. The validated by high speed constitutional camera (1000 FPS). results...

Standard quadcopters are popular largely because of their mechanical simplicity relative to other hovering aircraft, low cost and minimum operator involvement. However, this imposes fundamental limits on the types maneuvers possible due its under-actuation. The dexterity fault tolerance required for flying in limited spaces like forests industrial infrastructures dictate use a bespoke dual-tilting quadcopter that can launch vertically, performs autonomous flight between adjacent obstacles is...

System identification is a key discipline within the field of automation that deals with inferring mathematical models dynamic systems based on input-output measurements. Conventional methods require extensive data generation and are thus not suitable for real-time applications. In this paper, novel approach parametric linear using Deep Learning (DL) Modified Relay Feedback Test (MRFT) proposed. The proposed requires only single steady-state cycle MRFT, guarantees stability performance in...