Learning to predict resistive forces during robotic excavation

Learning to predict resistive forces during robotic excavation

Forces and Torques in Muscles and Joints | Physics

Forces in muscles and joints are largest when their load is a long distance from the joint, as the book is in the previous example. In racquet sports such as tennis the constant extension of the arm during game play creates large forces in this way.

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Emergence of the advancing neuromechanical phase in a

Jun 18, 2013 · Resistive Force Theory Model. Previously, we developed a granular resistive force theory (RFT) model and a numerical simulation that explained the swimming performance of the sandfish (18, 34, 35).The models showed that the lizards swim within a self-generated "frictional fluid," wherein frictional forces between the granular particles dominate both body inertia and …

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The BioMotionBot: A robotic device for applications in

Mar 15, 2013 · Moreover, the forces occurring during the movements made in sports are much greater (Steinacker et al., 1998) than the forces occurring in the previously described studies on dynamic learning. Finally, skill learning in sports (e.g., learning a backhand stroke in tennis) can only be compared to a limited extent with the adaption to a force field.

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Vision based supervised restricted Boltzmann machine helps

Aug 12, 2021 · A promising predictive modelling has been proposed and developed in this paper. This combines computer vision and machine learning to characterise novel SMA materials and estimate force generated

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Lightweight and High-Strength Design of an Excavator

Up to10%cash back · Dec 31, 2013 · S. Singh, Learning to predict resistive forces during robotic excavation. in Proceedings of the IEEE International Conference on Robotics and Automation, vol. 2 (1995), pp. 2102–2107 Google Scholar 24.

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An autonomous excavator system for material loading tasks

However, handling general terrains or rock excavation can be more challenging because of excessively large or unpredictable resistive force during the excavation. Furthermore, a human operator typically senses the material properties—such as damping, stiffness, viscosity, etc.—using visual and force feedback and adjusts the excavation

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The BioMotionBot: A robotic device for applications in

Mar 15, 2013 · Moreover, the forces occurring during the movements made in sports are much greater (Steinacker et al., 1998) than the forces occurring in the previously described studies on dynamic learning. Finally, skill learning in sports (e.g., learning a backhand stroke in tennis) can only be compared to a limited extent with the adaption to a force field.

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Multi-robot replication of ant collective towing

Oct 17, 2018 · where K a and K v are constant gains, θ max = π, v k,max is the robot's maximum possible towing speed, and F k is the magnitude of the pulling force applied by the robot. When the robot measures F k = 0 during some time period, it speeds up but does not update its weights w k,ij (learn) during that period.

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Ball Tracking and Trajectory Prediction for Table-Tennis

Jan 07, 2020 · Accurate prediction of the ball trajectory is vital to the capacity of the robot to hit the ball. Existing prediction methods can be divided into two categories: physical models and machine learning. Physical models assess the external forces affecting the trajectory of the ball, such as constant gravity and air resistance.

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A Quantitative Analysis of Dressing Dynamics for Robotic

May 16, 2017 · Assistive robots have a great potential to address issues related to an aging population and an increased demand for caregiving. Successful deployment of robots working in close proximity with people requires consideration of both safety and human–robot interaction (HRI). One of the established activities of daily living where robots could play an assistive role …

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Learning the signatures of the human grasp using a

May 29, 2019 · Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of …

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Prediction modeling of surface roughness in milling of

Jan 25, 2021 · Owing to the advantages like high specific strength, high heat resistance and excellent wear resistance, carbon fiber reinforced polymers (CFRP) are used widely in the aerospace field. Nevertheless, due to shortcomings such as anisotropy and uneven phase distribution, the cutting failure behavior of CFRP includes a series of complex processes like …

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Fruit Classification Utilizing a Robotic Gripper with

Sep 06, 2021 · As the core component of agricultural robots, robotic grippers are widely used for plucking, picking, and harvesting fruits and vegetables. Secure grasping is a severe challenge in agricultural applications because of the variation in the shape and hardness of agricultural products during maturation, as well as their variety and delicacy. In this study, a fruit …

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Synthesis of Tactical Plans for Robotic Excavation

In order to effectively plan its actions, a robot excavator requires a method to predict the resistive forces experienced as it scoops soil from the terrain. This …

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The Pushover Analysis, explained in its Simplicity

cracking and yielding, P-delta effects, change in the final seismic force estimated, etc. Although elastic analysis gives a good indication of elastic capacity of structures and shows where yielding might first occur, it cannot account for redistribution of forces during the progressive yielding that follows and predict its

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(PDF) Dynamics of four-wheel-steering vehicles

Abstract and Figures. In this paper we present an optimised 3 degrees-of-freedom non-linear dynamic model of a four-wheel-steering (4WS) vehicle. As variables, we retain the lateral velocity V

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(PDF) Learning to predict resistive forces during robotic

Research on Trajectory Planning and Autodig of Hydraulic Excavator

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Learning the signatures of the human grasp using a

May 29, 2019 · Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of …

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Low-Cost Space-Based Geoengineering: An Assessment Based

Mar 01, 2017 · Singh, "Learning to predict resistive forces during robotic excavation" IEEE Int Conf Robotics & Automation, 1995, pp. 2102-2107. [35] M. Cross, A. Ellery, A. Qadi, "Estimating terrain parameters for a rigid wheeled rover using neural networks" J Terramechanics 50 (3), 2013, pp. 165-174. [36]

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[2107.04171] Excavation Learning for Rigid Objects in Clutter

the forces that a cutting tool or a bucket fa ces and must overcome during excavation has b e e n d o n e t o s o m e r e a s o n a b l e e x t e n t . B u t, t h is issue is by itself is very

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