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20232026
most citedRadiance Fields for Robotic Teleoperation

1 citations · 1 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

TactSpace: Learning a Physics-enriched Shared Latent Space for Tactile Sim-to-Real Transfer

Arunim Joarder, Arjun Bhardwaj, René Zurbrügg +6

Tactile sensing provides direct measurements of contact interactions that are essential for robotic manipulation. However, current simulators lack the fidelity to faithfully model…

cs.RO2026

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation

Arjun Bhardwaj, Maximum Wilder-Smith, Mayank Mittal +2

In-hand object reorientation requires precise estimation of the object pose to handle complex task dynamics. While RGB sensing offers rich semantic cues for pose tracking, existing…

cs.RO2025

DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management

Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil +4

Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated impressive results for novel view synthesis with real-time rendering capabilities. However, integrating 3DGS with…

cs.RO2025

FOCI: Trajectory Optimization on Gaussian Splats

Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm +3

3D Gaussian Splatting (3DGS) has recently gained popularity as a faster alternative to Neural Radiance Fields (NeRFs) in 3D reconstruction and view synthesis methods. Leveraging th…

cs.RO2024

Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models

Mike Zhang, Kaixian Qu, Vaishakh Patil +2

Large Language Models (LLM) have emerged as a tool for robots to generate task plans using common sense reasoning. For the LLM to generate actionable plans, scene context must be p…

cs.RO2024★ 1 cited

Radiance Fields for Robotic Teleoperation

Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter

Radiance field methods such as Neural Radiance Fields (NeRFs) or 3D Gaussian Splatting (3DGS), have revolutionized graphics and novel view synthesis. Their ability to synthesize ne…

cs.RO2024

ICGNet: A Unified Approach for Instance-Centric Grasping

René Zurbrügg, Yifan Liu, Francis Engelmann +4

Accurate grasping is the key to several robotic tasks including assembly and household robotics. Executing a successful grasp in a cluttered environment requires multiple levels of…