Soft robotic actuators possess several unique characteristics, such as being generally compliant and lightweight, making them suitable for safe human interaction to be deployed in various industries. However, they are...
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ISBN:
(纸本)9798350332223
Soft robotic actuators possess several unique characteristics, such as being generally compliant and lightweight, making them suitable for safe human interaction to be deployed in various industries. However, they are often designed for an intended purpose, making them impractical for a different task. This paper aims to introduce a new way of utilising a new class of soft silicone actuators capable of incorporating them into applications that require both pushing and pulling. The dual multilayer extension actuator (DMEA) is compact and lightweight at 8 g, capable of an extension ratio of 300% and a high pulling force-to-weight ratio of 200 with the assistance of vacuum pressure at 30% extension ratio. The fabrication of the DMEA is described in detail and followed by characterisation tests of the DMEA compared to the FEA model. Finally, we showcase the DMEA pulling a 3D-printed arm as a potential assistive device and demonstrate the DMEA versatility by deploying the DMEA onto everyday household products like scissors and kitchen tongs.
In manufacturing, the current trend-shift from mass-production to mass-personalization is enabled, among others, by the emerging field of human-robot collaboration (HRC), in which humans collaborate or work in proximi...
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ISBN:
(数字)9781665499965
ISBN:
(纸本)9781665499965
In manufacturing, the current trend-shift from mass-production to mass-personalization is enabled, among others, by the emerging field of human-robot collaboration (HRC), in which humans collaborate or work in proximity with robots. In HRC scenarios, robots need to exert a desired behaviour that maximizes utility without sacrificing safety and responsiveness. To maximize safety and utility in static environments, state-ofthe-art offline motion-planners use computationally-heavy algorithms for approximating the collision-free robot reachability and accordingly generate (sub-)optimal robot trajectories. To enable real-time responsiveness, we propose an integrated global planner to generate sub-optimal trajectories. It relies on a closed-loop reactive controller for executing the global plan while ensuring safety with practical assumptions about the environment. We evaluate GLIR in simulation. In our experiments, our global planner operates at 25 Hz and the local planner at 100 Hz, enabling their execution in dynamic environments. In all experiments on static scenes with static and dynamic goals, GLIR keeps a safety distance from obstacles. We showcase some simulation experiments and a real-world demonstration in the video available at https://***/glir/.
This paper addresses practical experiences in the context of methodology in the field of algorithmization and programming, focusing on current challenges and effective approaches that support deeper understanding and ...
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This study explores automation and prompt engineering to enhance productivity by leveraging both emerging and existing technologies. It covers topics such as automated bug fixing, AI-driven office tasks, web data extr...
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This paper presents an improved topology for iso-lated DC-DC converter designed for electric vehicle applications, featuring a topology enhancement with two SiC MOSFETs in the post stage to enhance the conventional bu...
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The development of robotics with the possibility of implementing collaborative robots in practice allows their use in services in new social activities such as health care. The paper examines the possibility of robots...
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Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition and re-identification. Nevertheless, i...
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ISBN:
(纸本)9798350337266
Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition and re-identification. Nevertheless, in practical scenarios, classical fusion techniques respond poorly to the changes in individual users, external environment and varying contexts such as viewpoints. To this end, we propose a novel context-aware adaptive multi-biometric fusion strategy viz., 'Adapt-FuseNet' for the dynamic incorporation of gait and face biometric cues leveraging attention techniques. In particular, we investigate the impact of attention models such as parallel co-attention & keyless attention, along with various fusion strategies such as naive fusion & adaptive fusion for human identification. Extensive experiments are carried out on two publically available large gait datasets i.e. CASIA-A and CASIA-B. Results show the superior performance of our proposed context-aware adaptive fusion model compared with the state-of-the-art models.
This paper presents the design, development, and testing of Leo, an affordable biomechanically inspired quadruped robot with cognitive abilities. The objective was to create an accessible, low-cost platform for roboti...
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In recent years, there has been a growth in utilization of robotics applications all through more than one industry. Self-reliant and adaptive communication structures are crucial additives of gift robotics applicatio...
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Soft robots have long been attractive to robotic engineers due to their remarkable dexterity;however, reports that standardize soft actuators into modularized off-shelf devices akin to rigid robots are still rare, and...
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ISBN:
(纸本)9798350323658
Soft robots have long been attractive to robotic engineers due to their remarkable dexterity;however, reports that standardize soft actuators into modularized off-shelf devices akin to rigid robots are still rare, and the mechanical efficiency of existing designs is still limited. This work identifies origami folding to enable the design of LEGO-like modularized soft actuators with high mechanical efficiency in terms of payload capability and workspace. Herein, three modularized origami actuators that can generate translational, bending, and twisting motion are designed, prototyped, and tested. The translational actuator can contract to 40% of its original length, and the twisting and bending actuators can exert 31 degrees and 52 degrees angular motions, respectively. The translational actuator can exert a blocked force of about 821 times self-weight. The motion of origami soft actuators is accurately modeled using rigid body kinematics, and complex systems built by them are captured by homogeneous transformation. Finally, the modularized design and efficient kinematic model are verified on a manipulator and a reconfigurable letter. Benefiting from the unprecedented modularity and mechanical efficiency, these LEGO-like origami actuators are promising for practicalapplications like food handling and healthcare.
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