activity
20232025
most citedIsaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025★ 3 cited

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

NVIDIA, :, Mayank Mittal +104

We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab c…

cs.RO2025

Risk-Guided Diffusion: Toward Deploying Robot Foundation Models in Space, Where Failure Is Not An Option

Rohan Thakker, Adarsh Patnaik, Vince Kurtz +10

Safe, reliable navigation in extreme, unfamiliar terrain is required for future robotic space exploration missions. Recent generative-AI methods learn semantically aware navigation…

cs.RO2025

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation

Pascal Roth, Jonas Frey, Cesar Cadena +1

Ensuring safe navigation in complex environments requires accurate real-time traversability assessment and understanding of environmental interactions relative to the robot`s capab…

cs.RO2024★ 1 cited

ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments

Lorenzo Terenzi, Julian Nubert, Pol Eyschen +4

Construction sites are challenging environments for autonomous systems due to their unstructured nature and the presence of dynamic actors, such as workers and machinery. This work…

cs.RO2023

ViPlanner: Visual Semantic Imperative Learning for Local Navigation

Pascal Roth, Julian Nubert, Fan Yang +2

Real-time path planning in outdoor environments still challenges modern robotic systems due to differences in terrain traversability, diverse obstacles, and the necessity for fast…