Blar i NTNU Open på forfatter "From, Pål Johan"
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A Geometric Approach to the Design of Serial and Parallel Manipulators with Passive Joints
Pham, Cong Dung; From, Pål Johan; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2014)The use of robotic manipulators in remote and sensitive areas calls for more robust solutions when handling joint failure, and the industry demands mathematically robust approaches to handle even the worst case scenarios. ... -
A low‐cost and efficient autonomous row‐following robot for food production in polytunnels
Le, Tuan Dung; Ponnambalam, Vignesh Raja; From, Pål Johan; Omholt Gjevestad, Jon Glenn (Journal article; Peer reviewed, 2019)In this paper, we present an automatic motion planner for agricultural robots that allows us to set up a robot to follow rows without having to explicitly enter waypoints. In most cases, when robots are used to cover large ... -
Automatic strawberry detection
Chambenoit, Pierre Husebø (Master thesis, 2019)Denne oppgaven undersøker hvordan datasyn kan brukes til å detektere jordbær i bilder. Tre forskjellige datasynsalgoritmer legges frem, implementeres og sammenlignes med hverandre i denne oppgaven. Den første er basert på ... -
Off-Shore Robotics: Robust and Optimal Solutions for Autonomous Operation
From, Pål Johan (Doktoravhandlinger ved NTNU, 1503-8181; 2010:96, Doctoral thesis, 2010)The vast majority of research in the field of robotics has over the last few decades shifted from industrial robots—in the sense of robots mounted in a structured environment such as a factory floor—to robots operating in ... -
On the Boundedness Property of the Inertia Matrix and Skew-Symmetric Property of the Coriolis Matrix for Vehicle-Manipulator Systems
From, Pål Johan; Schjølberg, Ingrid; Gravdahl, Jan Tommy; Pettersen, Kristin Ytterstad; Fossen, Thor I. (Journal article; Peer reviewed, 2012)This paper addresses the boundedness property of the inertia matrix and the skew-symmetric property of the Coriolis matrix for vehicle-manipulator systems. These properties are widely used in control theory and Lyapunov-based ... -
Robot-supervised Learning of Crop Row Segmentation
Bakken, Marianne; Moore, Richard J.D.; From, Pål Johan; Omholt Gjevestad, Jon Glenn; Ponnambalam, Vignesh Raja (Chapter, 2021)We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ...