2 citations · 3 across the 22 of their papers we have counts for
21 papers · 1 filter
MS-MEM: Multi-Skill Manipulation-Enhanced Mapping via Uncertainty- and Disturbance-Aware Action Selection
Yitian Shi, Jesper Mücke, Nils Dengler +3
Accurate scene understanding in confined, cluttered spaces such as shelves is essential for service robots, as many everyday tasks require them to locate and retrieve objects relia…
Semantic- and Density-Aware Planning for Accessibility-Preserving Multi-Object Placement
Benno Wingender, Nils Dengler, Nicolas Busch +2
Long-term manipulation planning requires robots to reason not only about immediate task success but also about how current decisions affect future interactions with the environment…
Implicit Behavior Coordination from Sub-Task Demonstrations by Exploiting Overlap-Induced Multimodality
Ahmed Shokry, Usama Ahmed Siddiquie, Sicong Pan +1
Long-horizon robotic rearrangement is commonly formulated as a skill-sequencing problem, where distinct behaviors are explicitly represented and coordinated by a planner or high-le…
ObjView-Bench: Rethinking Difficulty and Deployment for Object-Centric View Planning
Sicong Pan, Hao Hu, Xuying Huang +2
Object-centric view planning is a core component of active geometric 3D reconstruction in robotics, yet existing evaluations often conflate object complexity, planning difficulty,…
Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences
Xuying Huang, Sicong Pan, Delphine Reinhardt +1
Visual navigation is a fundamental capability of mobile service robots, yet the onboard cameras required for such navigation can capture privacy-sensitive information and raise use…
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…
Efficient Trajectory Optimization for Autonomous Racing via Formula-1 Data-Driven Initialization
Samir Shehadeh, Lukas Kutsch, Nils Dengler +2
Trajectory optimization is a central component of fast and efficient autonomous racing. However practical optimization pipelines remain highly sensitive to initialization and may c…
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 View Planning Guided by Previous-Session Reconstruction for Repeated Plant Monitoring
Sicong Pan, Luca Lobefaro, Moein Taherkhani +4
Repeated plant monitoring is essential for tracking crop growth, and 3D reconstruction enables consistent comparison across monitoring sessions. However, rebuilding a 3D model from…
Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs
Xuying Huang, Sicong Pan, Olga Zatsarynna +2
RGB-based semantic segmentation has become a mainstream approach for visual perception and is widely applied in a variety of downstream tasks. However, existing methods typically r…
Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution
Xuying Huang, Sicong Pan, Maren Bennewitz
User privacy is a crucial concern in robotic applications, especially when mobile service robots are deployed in personal or sensitive environments. However, many robotic downstrea…
DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction
Sicong Pan, Liren Jin, Xuying Huang +3
Active object reconstruction is crucial for many robotic applications. A key aspect in these scenarios is generating object-specific view configurations to obtain informative measu…
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…
Safe Leaf Manipulation for Accurate Shape and Pose Estimation of Occluded Fruits
Shaoxiong Yao, Sicong Pan, Maren Bennewitz +1
Fruit monitoring plays an important role in crop management, and rising global fruit consumption combined with labor shortages necessitates automated monitoring with robots. Howeve…
Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning
Sicong Pan, Liren Jin, Xuying Huang +3
Object reconstruction is relevant for many autonomous robotic tasks that require interaction with the environment. A key challenge in such scenarios is planning view configurations…
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
Murad Dawood, Sicong Pan, Nils Dengler +3
In this paper, we address the problem of behavior-based cooperative navigation of mobile robots using safe multi-agent reinforcement learning~(MARL). Our work is the first to focus…
Active Implicit Reconstruction Using One-Shot View Planning
Hao Hu, Sicong Pan, Liren Jin +2
Active object reconstruction using autonomous robots is gaining great interest. A primary goal in this task is to maximize the information of the object to be reconstructed, given…
How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?
Sicong Pan, Liren Jin, Hao Hu +2
Neural Radiance Fields (NeRFs) are gaining significant interest for online active object reconstruction due to their exceptional memory efficiency and requirement for only posed RG…
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…
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…