18 citations · 32 across the 23 of their papers we have counts for
7 papers · 1 filter
NeRF-based Visualization of 3D Cues Supporting Data-Driven Spacecraft Pose Estimation
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
On-orbit operations require the estimation of the relative 6D pose, i.e., position and orientation, between a chaser spacecraft and its target. While data-driven spacecraft pose es…
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
Deniz Soysal, Xabier García-Andrade, Laura E. Rodriguez +3
Autonomous Raman instruments on Mars rovers, deep-sea landers, and field robots must interpret raw spectra distorted by fluorescence baselines, peak shifts, and limited ground-trut…
Robot Trajectron V2: A Probabilistic Shared Control Framework for Navigation
Pinhao Song, Yurui Du, Ophelie Saussus +4
We propose a probabilistic shared-control solution for navigation, called Robot Trajectron V2 (RT-V2), that enables accurate intent prediction and safe, effective assistance in hum…
On the Geometric Accuracy of Implicit and Primitive-based Representations Derived from View Rendering Constraints
Elias De Smijter, Renaud Detry, Christophe De Vleeschouwer
We present the first systematic comparison of implicit and explicit Novel View Synthesis methods for space-based 3D object reconstruction, evaluating the role of appearance embeddi…
TASC: Task-Aware Shared Control for Relational Telemanipulation
Ze Fu, Pinhao Song, Yutong Hu +1
We present TASC, a Task-Aware Shared Control framework for relational telemanipulation that infers task-level user intent and provides assistance from motion-only input. To support…
Equivariant Volumetric Grasping
Pinhao Song, Yutong Hu, Pengteng Li +1
We propose a new volumetric grasp model that is equivariant to rotations around the vertical axis, leading to a significant improvement in sampling efficiency. Our model employs a…
Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
Yutong Hu, Pinhao Song, Kehan Wen +1
We present a method that reduces, by an order of magnitude, the time and memory needed to train multi-task vision-language robotic diffusion policies. This improvement arises from…