| 1. |
- Baerveldt, Albert-Jan, et al.
(författare)
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Editorial
- 2003
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Ingår i: Robotics and Autonomous Systems. - Amsterdam : Elsevier. - 0921-8890 .- 1872-793X. ; 44:1, s. 1-
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Tidskriftsartikel (populärvet., debatt m.m.)
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| 2. |
- Baerveldt, Albert-Jan, et al.
(författare)
-
Vision-guided mobile robots for design competitions
- 2003
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Ingår i: IEEE robotics & automation magazine. - : IEEE, The Institute of Electrical and Electronics Engineers. - 1070-9932 .- 1558-223X. ; 10:2, s. 38-44
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Tidskriftsartikel (refereegranskat)abstract
- The use of popular and effective robot-design competitions in teaching system integration in engineering curricula was discussed. Such robot competitions give students open-ended problem spaces, teaches them to work in groups and stimulates creativity. The technical and pedagogical aspects of robot competitions along with their experiences and shortcomings were also discussed.
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| 3. |
- Bengtsson, Ola, et al.
(författare)
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Robot localization based on scan-matching - estimating the covariance matrix for the IDC algorithm
- 2003
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Ingår i: Robotics and Autonomous Systems. - Amsterdam : Elsevier. - 0921-8890 .- 1872-793X. ; 44:1, s. 29-40
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Tidskriftsartikel (refereegranskat)abstract
- We have previously presented a new scan-matching algorithm based on the IDC (iterative dual correspondence) algorithm, which showed a good localization performance even in environments with severe changes. The problem of the IDC algorithm is that there is no good way to estimate a covariance matrix of the position estimate, which prohibits an effective fusion with other position estimates of other sensors. This paper presents two new ways to estimate the covariance matrix. The first estimates the covariance matrix from the Hessian matrix of the error function minimized by the scan-matching algorithm. The second one, which is an off-line method, estimates the covariance matrix of a specific scan, from a specific position by simulating and matching scans around the position. Simulation results show that the covariance matrix provided by the off-line method fully corresponds with the real one. Some preliminary tests on real data indicate that the off-line method gives a good quality value of a specific scan position, which is of great value in map building.
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| 4. |
- Åstrand, Björn, et al.
(författare)
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A mobile robot for mechanical weed control
- 2003
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Ingår i: International Sugar Journal. - London : Informa Agra. - 0020-8841. ; 105:1250, s. 89-95
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents an autonomous agricultural mobile robot for mechanical weed control in outdoor environments. The robot employs two vision systems: one grey-level vision system that is able to recognise the row structure formed by the crops and to guide the robot along the rows and a second, colour-based vision system that is able to identify a single crop among weed plants. This vision system controls a weeding-tool that removes the weed within the row of crops. It has been shown that colour vision is feasible for single plant identification, i.e. discriminating between crops and weeds. The system as a whole has been verified, showing that the subsystems are able to work together effectively. A first trial in a greenhouse showed that the robot is able to manage weed control within a row of sugar beet plants.
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