The object of the study is an exoskeleton of the lower extremities with a rigid structure of the power frame, which has 7 degrees of freedom. The movement of the exoskeleton in the sagittal plane is considered with th...
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Spacefaring nations have already expressed their plans for a sustainable human and robotic exploration on the Moon. This endeavor highlighted in the Global Exploration Roadmap (GER) foresees the development of infrast...
Spacefaring nations have already expressed their plans for a sustainable human and robotic exploration on the Moon. This endeavor highlighted in the Global Exploration Roadmap (GER) foresees the development of infrastructures such as habitats, greenhouses, science labs, power plants, and mining facilities. Following this long-term vision, the German Aerospace Center (DLR) EDEN LUNA Project presents a Moon-analogue greenhouse facility which can demonstrate nearly closed-loop bio-regenerative life support systems technology and aim to produce fresh food for astronauts on the Moon in the near future. To optimize the food production and overcome challenges inherent to space missions, the EDEN Versatile End-effector (EVE) is integrated to the EDEN LUNA Greenhouse. This support system is a valuable payload which will automatize the tasks of the entire plant cultivation process: from germination to harvesting. The automatization is particularly relevant when the food production is intensified either seasonally or in a future scaled-up scenario. The EVE system encompasses a linear rail system installed on the ceiling of the greenhouse, a 7-Degrees of Freedom (DOF) autonomous robotic arm with high precision joint configuration, a sensorized robotic hand which can grasp delicate objects, and a sophisticated computer vision camera with plant monitoring capabilities. When in operation, the EVE system uses shared autonomy features. Thus, while it maintains the human in the loop for some of the decision-making processes, it can also function with some level of autonomy. A set of tasks previously defined by an astronaut in the end of an operational day and carried out autonomously during the night by the EVE system is one example of this human-robot collaboration. In addition, an optimized motion planning will ensure that the EVE system can perform constrained manipulation tasks in a limited workspace observing energy efficiency and safety requirements. This is explained in the pa
The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fing...
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ISBN:
(数字)9798350379136
ISBN:
(纸本)9798350379143
The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fingers, complex geometries can be handled effectively. Pneumatic hybrid gripper fabricated with PLA and silicone rubber offers adaptability and versatility. Resistive sensors over silicone surface of gripper lead to cost-effective force detection and tactile sensing. The proposed gripper was designed and analyzed using Fusion 360 and ANSYS. Inflatable silicone rubber and gripper body were fabricated using liquid casting and Fused Deposited Modelling 3D printing techniques. Real-time feedback sensors were employed with fabricated gripper to get better performance. Testing proves its capability to handle loads up to 500g with a force of 3.3N. Finally, the assembled hybrid gripper offers a versatile solution for robotic manipulation, ensuring stability and minimizing damage across various industries.
CanSats are earth bound analogues for orbital micro and picosatellites. These devices have become increasingly relevant as small-scale satellites, such as CubeSats, have grown in popularity and accessibility. With add...
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ISBN:
(数字)9798350350302
ISBN:
(纸本)9798350350319
CanSats are earth bound analogues for orbital micro and picosatellites. These devices have become increasingly relevant as small-scale satellites, such as CubeSats, have grown in popularity and accessibility. With additional robotic frontiers for the exploration of space also becoming increasingly accessible, analogous systems for researching planetary surface rovers may also be potentially relevant. This research expands on the emerging field of “CanBots”, which refers to this kind of earth-bound analogue for planetary surface exploring robots. The novel modular CanBot developed in this research represents a unique design framework whereby mobility aspects of the vehicle form discrete and interchangeable modules. Initial characterization of the locomotion capabilities of these modules were determined independently using an optical Motion Capture system. Then the modules were combined into a single multimodal system for additional mobility testing. Vehicle trajectories for an Aerial Quadrotor CanBot, Terrestrial Quadruped CanBot and the combined Multimodal CanBot have been compiled in this research. Initial results suggest that the Multimodal CanBot can successfully reproduce the locomotion techniques for the aerial and terrestrial modalities, but at the cost of lower overall movement efficiency in either modality.
We present an action-driven tactile exploration system using flexible touch sensors integrated into the fingertips of a robot hand. These sensors are made from foams injected with silver nanotubes that exhibit resista...
We present an action-driven tactile exploration system using flexible touch sensors integrated into the fingertips of a robot hand. These sensors are made from foams injected with silver nanotubes that exhibit resistance changes under pressure to enable tactile perception. A microcontroller-based unit captures the resistance, with communication deployed using the Robot Operating System. Our approach is evaluated in tactile object exploration, where robotic finger movements estimate the coordinates of the points of contact upon collisions with an object. Through repeated grasps, a point cloud of the shape of an object is generated. Distinct finger movements, or affordances, are developed to collect new contact points to discriminate four different shapes, including cube, cylinder, pyramid, and sphere. We benchmark our approach on medium and large sets of objects.
The aluminum based alloy are widely used in different applications. The type 2017 A is characterized by high values of mechanical properties, which is why it is used for parts subjected to various mechanical stresses,...
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作者:
Lee, HyunjongJung, Han HeeKwak, JeonghoYea, JunwooChoi, Jihwan P.Jang, Kyung-In
Department of Electrical Engineering and Computer Science Daegu Korea Republic of Dgist
Department of Robotics and Mechatronics Engineering Daegu Korea Republic of Dgist
Department of Electrical Engineering and Computer Science Daegu Korea Republic of
Department of Aerospace Engineering Dajeon Korea Republic of
Analyzing wine using taste data is a promising field due to the explosive expansion of online commerce. However, because of the wide variety of wine types with different flavors and aromas, it is difficult for consume...
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This paper employs a deep learning approach to enhance the task space control of soft continuum robots. We built an approximate data-driven dynamics model of a soft robot using sampled Cartesian positions of the robot...
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ISBN:
(数字)9798331516239
ISBN:
(纸本)9798331516246
This paper employs a deep learning approach to enhance the task space control of soft continuum robots. We built an approximate data-driven dynamics model of a soft robot using sampled Cartesian positions of the robot’s tip and its actuator tensions. We then incorporated this surrogate model into a Model Predictive Control (MPC) control scheme, enabling nonlinear control for task space trajectory tracking without relying on an exact analytical dynamics model of the robot or extensive computations. By involving constraints into the MPC, we addressed the robot’s workspace and actuation limits. The numerical results of the simulation experiment show that deep learning dynamic models can improve robotic control. This leads to accurate trajectory tracking and suggests that deep learning could be used more in robot system control, especially for real-time control applications.
One of the most common types of the military wounds is below-the-knee amputation. A person with such problem needs a dynamic foot to be able to move and perform simple *** bionic foot might be helpful in the nearest f...
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ISBN:
(数字)9798350378627
ISBN:
(纸本)9798350378634
One of the most common types of the military wounds is below-the-knee amputation. A person with such problem needs a dynamic foot to be able to move and perform simple *** bionic foot might be helpful in the nearest future.
Gesture recognition is one of the natural ways of human-computer interaction (HCI) that will positively affect their use. This paper presents an approach for real-time static gestures recognition based on the skeleton...
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