1 citations · 3 across the 14 of their papers we have counts for
14 papers
SG-AMP: Scene-Graph-Guided Active Perception and Semantics-Aware Motion Planning for Pepper Plants
Rohit Menon, Shiva Rudra Lolla, Niklas Mueller-Goldingen +3
We present SG-AMP, integrating robust depth completion with input-conditioned uncertainty, persistent panoptic mapping, plant scene-graph reasoning, and semantics-aware active view…
SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Pepper Plants
Rohit Menon, Niklas Mueller-Goldingen, Sicong Pan +2
Robotic harvesting in dense crop canopies requires effective interventions that depend not only on geometry, but also on explicit, direction-conditioned relations identifying which…
A Robust Placeability Metric for Model-Free Unified Pick-and-Place Reasoning
Benno Wingender, Nils Dengler, Rohit Menon +2
Reliable manipulation of previously unseen objects remains a fundamental challenge for autonomous robotic systems operating in unstructured environments. In particular, robust pick…
Efficient Manipulation-Enhanced Semantic Mapping With Uncertainty-Informed Action Selection
Nils Dengler, Jesper Mücke, Rohit Menon +1
Service robots operating in cluttered human environments such as homes, offices, and schools cannot rely on predefined object arrangements and must continuously update their semant…
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Rohit Menon, Nils Dengler, Sicong Pan +2
For scene understanding in unstructured environments, an accurate and uncertainty-aware metric-semantic mapping is required to enable informed action selection by autonomous system…
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…
Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning
Benedikt Kreis, Nils Dengler, Jorge de Heuvel +3
Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbo…
HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers
Christian Lenz, Rohit Menon, Michael Schreiber +3
Horticultural tasks such as pruning and selective harvesting are labor intensive and horticultural staff are hard to find. Automating these tasks is challenging due to the semi-str…
DawnIK: Decentralized Collision-Aware Inverse Kinematics Solver for Heterogeneous Multi-Arm Systems
Salih Marangoz, Rohit Menon, Nils Dengler +1
Although inverse kinematics of serial manipulators is a well studied problem, challenges still exist in finding smooth feasible solutions that are also collision aware. Furthermore…
Viewpoint Push Planning for Mapping of Unknown Confined Spaces
Nils Dengler, Sicong Pan, Vamsi Kalagaturu +3
Viewpoint planning is an important task in any application where objects or scenes need to be viewed from different angles to achieve sufficient coverage. The mapping of confined s…
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…
Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks
Benedikt Kreis, Rohit Menon, Bharath Kumar Adinarayan +2
When arranging objects with robotic arms, the quality of the end result strongly depends on the achievable placement accuracy. However, even the most advanced robotic systems are p…
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…