[PDF] Top 20 Combining Active Learning and Reactive Control for Robot Grasping
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Combining Active Learning and Reactive Control for Robot Grasping
... µ for taking that a tion, and a on den e bound ±σ indi ating the range in whi h the a tual mean reward ...µ and σ indi ate how desirable exe uting the a tion ...exploitation and re eiving ... Voir le document complet
23
COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2
... approach Combining Optimal Control, Movement Primitives and Learning for the generation of humanoid walking ...optimal control problems based on detailed dynamic models of the ... Voir le document complet
9
An experiment with reactive data-flow tasking in active robot vision
... to reactive systems programming, and particularly the S IGNAL language, ap- plied to a significant problem in robot vision: active visual recon- ...as robot control, computer vi- ... Voir le document complet
34
Visually-guided grasping while walking on a humanoid robot
... [15] for more ...HRP-2 robot, based on ...the robot whose CoM moves on a ...controller and thus implies to know the future in the corresponding window (here ...the robot, Kajita ... Voir le document complet
8
Reactive control and sensor fusion for mobile manipulators in human robot interaction
... The grasping moment is visible on axis y (in blue), and the transfer of the holding of the object is evident on axis z (in ...the robot how to exchange object like humans is very promis- ing as rich ... Voir le document complet
195
Iterative Learning for Model Reactive Control: Application to autonomous multi-agent control
... machine learning applied to quadrotors, to our knowledge most of existing solutions are effective to a single ...reinforcement learning for a single quadrotors where the model is trained in simulator ... Voir le document complet
8
Combining Local and Centralized Voltage Control Schemes in Active Distribution Networks
... additional reactive power • this is corrected by the closed-loop model predictive control scheme (other DGUs compensate for the non responding ... Voir le document complet
1
Development of Object and Grasping Knowledge by Robot Exploration
... object and action learning by cognitive agents: The work of Fitzpatrick and Metta [6] is closely related to our object learning approach since the overall goal as well as the hardware setup ... Voir le document complet
17
Combining physical simulators and object-based networks for control
... A. Learning Contact Dynamics In the field of contact dynamics, researchers have looked towards data-driven techniques to complement analytical models and/or directly learn ...dynamics. For example, ... Voir le document complet
8
Reactive Planning on a Collaborative Robot for Industrial Applications
... Yang and Brock (Yang and Brock, 2010) pre- sented an original solution, though lacking convinc- ing experimental validation and generic obstacle de- tection ...robust and globally ... Voir le document complet
9
Robot cognitive control with a neurophysiologically inspired reinforcement learning model
... MATERIALS AND METHODS GLOBAL ROBOTICS SETUP In each experiment presented in this paper, we consider a humanoid agent – a physical robot or a simulation – which inter- acts with the environment through ... Voir le document complet
15
Easy grasping location learning from one-shot demonstration
... studied for many years resulting in the development of various ...deep learning tools enable the rise of object agnostic grasper following a data-driven approach ...where grasping location are ... Voir le document complet
8
Contextual Bandit for Active Learning: Active Thompson Sampling
... vectors and rewards relate to each other, so that it can predict the next best arm to play by looking at the feature ...(RS) and information retrieval. For example, in [3, 2], authors model RS as a ... Voir le document complet
9
Design of a Cable-Driven Parallel Robot with Grasping Device
... frame and a moving-platform. A set of cables actuated by winches and guided by pulleys on the base frame are attached to the ...ratio and high velocities and ...the robot base frame ... Voir le document complet
7
Design and Optimization of a Multi-drone Robot for Grasping and Manipulation of Large-size Objects
... designed for manipulation tasks and not for ...precise and robust control of each drone to continuously exert a force by each finger on the object, and the stability depends on ... Voir le document complet
9
Directional redundancy for robot control
... general and can be applied for numerous sensor-based closed-loop control ...problems. For this article, the method has been applied to visual ...the robot has to move with respect to a ... Voir le document complet
15
Combining fast search and learning for scalable similarity search
... The database index in this scalable system needs to fulfill two roles: it must provide the necessary structure and landmarks for a fast nearest neighbors search [r] ... Voir le document complet
39
Dense visual learning for robot manipulation
... world, and how should it be acquired? This question may inspire a variety of responses from the research ...stated and often preferred answer has been to have the 6DOF pose of each object instance in the ... Voir le document complet
141
Design of a Cable-Driven Parallel Robot with Grasping Device
... [3] for the static equilibrium of ...pull and not push the moving-platform, there- fore limiting the pose it can reach outside of the volume of the ...technique for the moving-platform to go out from ... Voir le document complet
7
Active learning and input space analysis for deep networks
... e cient active learning criterion for deep ...in active learning and known as margin- based active ...margin-based active learning, we assume that the ... Voir le document complet
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