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  1. No Access

    Chapter and Conference Paper

    Inverse and Direct Kinematics of a Modified Stewart-Gough Platform

    This paper presents the development and testing of a numerical method for the direct and inverse kinematic calculation of a passive flexible Stewart-Gough platform with special axis-offset universal joints. Th...

    Martin Bem, Simon Reberšek, Igor Kovač in Advances in Service and Industrial Robotics (2023)

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    Chapter and Conference Paper

    Randomized Robotic Visual Quality Inspection with In-hand Camera

    Robotic visual inspection is based on manually pre-defined postures (relation) between the camera and the object, and the robot either moves the object in front of the camera, or the in-hand camera around of t...

    Zvezdan Lončarević, Simon Reberšek, Aleš Ude in Intelligent Autonomous Systems 17 (2023)

  3. No Access

    Chapter and Conference Paper

    Adaptive Robotic Levering for Recycling Tasks

    A common step in autonomous robotic disassembly (recycling) of electronics is levering, which allows the robot to apply greater forces when removing parts of the devices. In practical applications, the robot s...

    Boris Kuster, Mihael Simonič, Aleš Ude in Advances in Service and Industrial Robotics (2023)

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    Chapter and Conference Paper

    Remote Center of Motion Based on Null Space and Virtual Joints in a Surgical Robotics Research Platform

    We propose an approach for Remote Center of Motion (RCM) control in a Robot-assisted Minimally Invasive Surgery (RMIS) setting. We define Remote Center of Motion constraint as a primary task. Its control inclu...

    Miha Deniša, Jan Kranjec, Aleš Ude in Advances in Service and Industrial Robotics (2023)

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    Chapter and Conference Paper

    Teaching Humanoid Robot Reaching Motion by Imitation and Reinforcement Learning

    This paper presents a user-friendly method for programming humanoid robots without the need for expert knowledge. We propose a combination of imitation learning and reinforcement learning to teach and optimize...

    Kristina Savevska, Aleš Ude in Advances in Service and Industrial Robotics (2023)

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    Book and Conference Proceedings

  7. No Access

    Article

    Manipulation Learning on Humanoid Robots

    The ability to autonomously manipulate the physical world is the key capability needed to fulfill the potential of cognitive robots. Humanoid robots, which offer very rich sensorimotor capabilities, have made ...

    Andrej Gams, Tadej Petrič, Bojan Nemec, Aleš Ude in Current Robotics Reports (2022)

  8. Article

    Open Access

    Analysis of Methods for Incremental Policy Refinement by Kinesthetic Guidance

    Traditional robot programming is often not feasible in small-batch production, as it is time-consuming, inefficient, and expensive. To shorten the time necessary to deploy robot tasks, we need appropriate tool...

    Mihael Simonič, Tadej Petrič, Aleš Ude in Journal of Intelligent & Robotic Systems (2021)

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    Chapter and Conference Paper

    Modular Real-Time System for Upper-Body Motion Imitation on Humanoid Robot Talos

    In this paper, real-time motion transfer from a human demonstrator to an advanced humanoid robot Talos is presented. The objective of the motion transfer is to reproduce the demonstrated motion as close as pos...

    Kristina Savevska, Mihael Simonič, Aleš Ude in Advances in Service and Industrial Robotics (2021)

  10. No Access

    Chapter and Conference Paper

    Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction

    A deep encoder-decoder network was previously proposed for learning a map** from raw images to dynamic movement primitives in order to enable a robot to draw sketches of numeric digits when shown images of s...

    Barry Ridge, Rok Pahič, Aleš Ude in Advances in Service and Industrial Robotics (2020)

  11. No Access

    Chapter and Conference Paper

    Knowledge Acquisition Through Human Demonstration for Industrial Robotic Assembly

    With the ambition to introduce robots into assembly lines, not suitable for classical automation, the ease of robot programming is becoming more significant then ever. This paper proposes using various approac...

    Timotej Gašpar, Miha Deniša, Aleš Ude in Advances in Service and Industrial Robotics (2020)

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    Chapter and Conference Paper

    Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing

    Autonomous learning and adaptation of robotic trajectories by complex robots in unstructured environments, for example with the use of reinforcement learning, very quickly encounters problems where the dimensi...

    Zvezdan Lončarević, Rok Pahič in Advances in Service and Industrial Robotics (2020)

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    Chapter and Conference Paper

    Generalization Based Database Acquisition for Robot Learning in Reduced Space

    In order to increase the autonomy of the modern, high complexity robots with multiple degrees of freedom, it is necessary for them to be able to learn and adapt their skills, for example, using reinforcement l...

    Zvezdan Lončarević, Rok Pahič in Advances in Service and Industrial Robotics (2020)

  14. No Access

    Chapter

    Introduction

    Today’s robotics can be described as a science dealing with intelligent movement of various robot mechanisms which can be classified in the following four groups: robot manipulators, robot vehicles, man-robot ...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

  15. No Access

    Chapter

    Geometric Description of the Robot Mechanism

    The geometric description of the robot mechanism is based on the usage of translational and rotational homogenous transformation matrices. A coordinate frame is attached to the robot base and to each segment o...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

  16. No Access

    Chapter

    Trajectory Planning

    In previous chapters we studied mathematical models of robot mechanisms. First of all we were interested in robot kinematics and dynamics. Before applying this knowledge to robot control, we must become famili...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

  17. No Access

    Chapter

    Robot Environment

    This chapter will illustrate robot environments, exemplified by product assembly processes where robots are a part of a production line or as completely independent units. The example can be easily replicated ...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

  18. No Access

    Chapter

    Accuracy and Repeatability of Industrial Manipulators

    In this chapter we shall briefly consider performance criteria and the methods for testing of industrial robot manipulators as described in the ISO 9283 standard. Before addressing accuracy and repeatability o...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

  19. No Access

    Chapter and Conference Paper

    Robot-Driven Autofocus Control Mechanism for an In-hand Fixed Focus Camera

    The manufacturing industry is looking into more flexible solution for SMEs, in order to cope with few-of-a-kind production. Short set-up time and no need for experts is a requirement, which is why learning of ...

    Robert Bevec, Timotej Gašpar, Aleš Ude in Advances in Service and Industrial Robotics (2019)

  20. No Access

    Chapter

    Homogenous Transformation Matrices

    As stated previously robots have either translational or rotational joints. To describe the degree of displacement in a joint we need a unified mathematical description of translational and rotational displace...

    Matjaž Mihelj, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik in Robotics (2019)

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