16 citations · 27 across the 9 of their papers we have counts for
12 papers
GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping
Allen Isaac Jose, Sicong Pan, Tobias Zaenker +3
Automating labor-intensive tasks such as crop monitoring with robots is essential for enhancing production and conserving resources. However, autonomously monitoring horticulture c…
Map Space Belief Prediction for Manipulation-Enhanced Mapping
Joao Marcos Correia Marques, Nils Dengler, Tobias Zaenker +4
Searching for objects in cluttered environments requires selecting efficient viewpoints and manipulation actions to remove occlusions and reduce uncertainty in object locations, sh…
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Ahmed Shokry, Walid Gomaa, Tobias Zaenker +5
Autonomous assembly is an essential capability for industrial and service robots, with Peg-in-Hole (PiH) insertion being one of the core tasks. However, PiH assembly in unknown env…
Integrating One-Shot View Planning with a Single Next-Best View via Long-Tail Multiview Sampling
Sicong Pan, Hao Hu, Hui Wei +4
Existing view planning systems either adopt an iterative paradigm using next-best views (NBV) or a one-shot pipeline relying on the set-covering view-planning (SCVP) network. Howev…
Graph-based View Motion Planning for Fruit Detection
Tobias Zaenker, Julius Rückin, Rohit Menon +2
Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significan…
NBV-SC: Next Best View Planning based on Shape Completion for Fruit Mapping and Reconstruction
Rohit Menon, Tobias Zaenker, Nils Dengler +1
Active perception for fruit mapping and harvesting is a difficult task since occlusions occur frequently and the location as well as size of fruits change over time. State-of-the-a…
Fruit Mapping with Shape Completion for Autonomous Crop Monitoring
Salih Marangoz, Tobias Zaenker, Rohit Menon +1
Autonomous crop monitoring is a difficult task due to the complex structure of plants. Occlusions from leaves can make it impossible to obtain complete views about all fruits of, e…
Combining Local and Global Viewpoint Planning for Fruit Coverage
Tobias Zaenker, Chris Lehnert, Chris McCool +1
Obtaining 3D sensor data of complete plants or plant parts (e.g., the crop or fruit) is difficult due to their complex structure and a high degree of occlusion. However, especially…
Online Object-Oriented Semantic Mapping and Map Updating
Nils Dengler, Tobias Zaenker, Francesco Verdoja +1
Creating and maintaining an accurate representation of the environment is an essential capability for every service robot. Especially for household robots acting in indoor environm…
Viewpoint Planning for Fruit Size and Position Estimation
Tobias Zaenker, Claus Smitt, Chris McCool +1
Modern agricultural applications require knowledge about the position and size of fruits on plants. However, occlusions from leaves typically make obtaining this information diffic…
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention
Claus Smitt, Michael Halstead, Tobias Zaenker +2
We present PATHoBot an autonomous crop surveying and intervention robot for glasshouse environments. The aim of this platform is to autonomously gather high quality data and also e…
Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration
Tobias Zaenker, Francesco Verdoja, Ville Kyrki
Modern intelligent and autonomous robotic applications often require robots to have more information about their environment than that provided by traditional occupancy grid maps.…