zaenker

Personal fields

Type of degree M.Sc.

Full Name Tobias Zaenker

First Name Tobias

Last Name Zaenker

Publication Name

Type of position Ph.D. Student

Contact

Room number Room 2.021

Address

Telephone number +49 (0)228 73-60822

Fax number

Email tzaenker_at_cs.uni-bonn.de

Personal Website URL

Twitter URL

LinkedIn URL https://www.linkedin.com/in/tobias-zaenker

Github URL https://github.com/Eruvae

Google Scholar URL https://scholar.google.com/citations?user=emKKTUIAAAAJ

ORCID URL

Research Areas

• Viewpoint planning
• Fruit detection
• Semantic mapping

Researchgate URL

About

Settings

Versioning enabled yes

Short name zaenker

Layout

Blocks { "605b72f7-2383-4dd1-97ec-b574ea7e4eba": { "headlineTag": "h2", "@type": "listing", "block": "605b72f7-2383-4dd1-97ec-b574ea7e4eba", "headline": "Related Projects:", "query": [], "querystring": { "query": [ { "i": "portal_type", "o": "plone.app.querystring.operation.selection.any", "v": [ "project" ] }, { "i": "project_members", "o": "plone.app.querystring.operation.selection.any", "v": [ "T. Zaenker" ] } ], "sort_order": "ascending" }, "variation": "titleListing" }, "a9a7f909-2c39-4d94-9636-567c660ca7e0": { "@type": "title" }, "d4475dc9-5ae5-41e4-9cff-e035ccf41854": { "@type": "listing", "block": "d4475dc9-5ae5-41e4-9cff-e035ccf41854", "headline": "My Publications:", "headlineTag": "h2", "query": [], "querystring": { "query": [ { "i": "portal_type", "o": "plone.app.querystring.operation.selection.any", "v": [ "publication" ] }, { "i": "publication_authors", "o": "plone.app.querystring.operation.selection.any", "v": [ "T. Zaenker" ] } ], "sort_on": "effective", "sort_order": "descending", "sort_order_boolean": true }, "variation": "publicationsListing" }, "e1366fad-ced3-477d-9d68-836a6eee7f8c": { "@type": "slate", "plaintext": "", "value": [ { "children": [ { "text": "" } ], "type": "p" } ] }, "e4609f5d-6e87-4eb2-946d-73a8faabca6a": { "headlineTag": "h2", "@type": "listing", "block": "e4609f5d-6e87-4eb2-946d-73a8faabca6a", "headline": "Research Areas:", "query": [], "querystring": { "query": [ { "i": "portal_type", "o": "plone.app.querystring.operation.selection.any", "v": [ "topic" ] }, { "i": "Subject", "o": "plone.app.querystring.operation.selection.any", "v": [ "Active Perception" ] } ], "sort_order": "ascending" }, "variation": "titleListing" } }

Blocks Layout { "items": [ "a9a7f909-2c39-4d94-9636-567c660ca7e0", "e4609f5d-6e87-4eb2-946d-73a8faabca6a", "605b72f7-2383-4dd1-97ec-b574ea7e4eba", "d4475dc9-5ae5-41e4-9cff-e035ccf41854", "e1366fad-ced3-477d-9d68-836a6eee7f8c" ] }

Categorization

Related Items

• Phenorob - Robotics and Phenotyping for Sustainable Crop Production PhenoRob performs world-leading research in robotics and phenotyping for sustainable crop production. Our vision is to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. PhenoRob addresses a real-world problem with a technology-oriented approach. Our scientists have backgrounds in computer science, geodesy, robotics, plant science, soil science, economics, and environmental science. This interdisciplinary team forms the only DFG-funded Cluster of Excellence focusing on agriculture.
• Active Perception Active perception tries to answer the question of where to look at to gain more information. This is an important task in any application where occlusions appear and scenes need to be observed from different angles. Especially for robots operating in complex unstructured environments, active perception is key to efficient spatio-temporal mapping.

Contents

There are currently no items in this folder.

Keywords

Phenorob Active Perception

Related content

Phenorob - Robotics and Phenotyping for Sustainable Crop Production

PhenoRob performs world-leading research in robotics and phenotyping for sustainable crop production. Our vision is to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. PhenoRob addresses a real-world problem with a technology-oriented approach. Our scientists have backgrounds in computer science, geodesy, robotics, plant science, soil science, economics, and environmental science. This interdisciplinary team forms the only DFG-funded Cluster of Excellence focusing on agriculture.

Active Perception

Active perception tries to answer the question of where to look at to gain more information. This is an important task in any application where occlusions appear and scenes need to be observed from different angles. Especially for robots operating in complex unstructured environments, active perception is key to efficient spatio-temporal mapping.