16 citations · 21 across the 23 of their papers we have counts for
7 papers · 1 filter
Do My Samples Help? Compute Budget Allocation for Real-World Sampling-Based MPC in Contact-Rich Manipulation
Magnus Dierking, João Carvalho, Vince Kurtz +3
Sampling-based model predictive control (SMPC) is increasingly practical for contact-rich manipulation because GPU-based physics simulators enable real-time evaluation of large num…
PolyUMI: Accessible Visual-Tactile-Audio Data Collection for Object Inference and Manipulation
Conor W. Hayes, Rickmer Krohn, Aravind Ramaswami +6
Humans typically rely on vision, touch, hearing, and proprioception to perceive contact and adapt their actions during manipulation. Providing robots with comparable responsiveness…
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…
RHINO-AR: An Augmented Reality Exhibit for Teaching Mobile Robotics Concepts in Museums
Nils Dengler, Tim Graf, Leif Van Holland +3
Understanding autonomous mobile robots is challenging for people without robotics expertise, because key processes such as sensing, mapping, and planning are invisible. We present…
Interpreting Context-Aware Human Preferences for Multi-Objective Robot Navigation
Tharun Sethuraman, Subham Agrawal, Nils Dengler +3
Robots operating in human-shared environments must not only achieve task-level navigation objectives such as safety and efficiency, but also adapt their behavior to human preferenc…
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…