10 papers
From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
Jason Stanley, Zhirui Dai, Qihao Qian +6
Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan safe, dynamically feasible trajectories, all onboard and in real…
DexFuture: Hierarchical Future-State Visuomotor Targeting for Bimanual Dexterous Tool Use
Runfa Blark Li, Kuang-Ting Tu, Nikola Raicevic +6
Bimanual dexterous tool use remains challenging for robots due to high-dimensional hand configurations and complex hand-tool-object dynamics and contact. Most existing control poli…
Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation
Nikola Raicevic, Bharath Raam Radhakrishnan, Chenbin Yu +2
Long-horizon planning for non-prehensile robot manipulation is challenging due to underactuated and discontinuous interactions. We propose a hierarchical formulation of model predi…
Neural Configuration-Space Barriers for Manipulation Planning and Control
Kehan Long, Ki Myung Brian Lee, Nikola Raicevic +3
Planning and control for high-dimensional robot manipulators in cluttered dynamic environments require computational efficiency and robust safety guarantees. Inspired by recent adv…
Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
Zhirui Dai, Hojoon Shin, Yulun Tian +2
Dense reconstruction and differentiable rendering are fundamental tightly connected operations in 3D vision and computer graphics. Recent neural implicit representations demonstrat…
Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression
Zhirui Dai, Tianxing Fan, Mani Amani +4
Accurate and efficient scene representation is crucial for robotic tasks such as motion planning, manipulation, and navigation. Signed distance functions (SDFs) have emerged as a p…