NVIDIA Omniverse demonstrates how to use Mobility Gen in Isaac Sim to record robot trajectory data and render it from the robot’s camera perspective.
Mobility Gen generates trajectory data for training mobility policies across robot types. The tutorial enables its UI extension, loads a warehouse scene and occupancy map, selects the H1 humanoid, and chooses random path following.
After the scene loads, recording captures the robot moving from random starting points toward random goal poses. The scenario creates repeated trajectories until recording is stopped, while the occupancy map helps the robot navigate around obstacles.
Changing the lighting, such as making the warehouse dimmer, adds variation that can help train robots for different conditions. Stopping after four trajectories leaves the collected data and occupancy map files in the project.
A replay script renders the saved trajectories without requiring further GUI adjustments. The output includes image sequences from the robot’s front-left camera as well as depth images, providing simulated RGB-D data for training perception and mobility policies.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
Modi, a PhD researcher at Shanghai Innovation Institute, joins RoboPapers host Mike to explain EgoHumanoid, a method for combining human demonstrations with robot data to train humanoid loco-manipulation policies.
Ria, a USC assistant professor, and her student coauthors discuss their Humanoid Everyday dataset and humanoid manipulation research with the RoboPapers hosts.
Lee Yi, an assistant professor at Tsinghua University and coauthor of R2S2, discusses whole-body humanoid reaching and teleoperation with the RoboPapers hosts.
PRO ROBOTS’ main presenter covers humanoid, service, industrial, and healthcare robots at China’s 2025 World Robot Conference, with demonstrations and interviews from exhibitors.
Sergey, host at Supercar Blondie, explores Unitree Robotics’ quadruped and humanoid robots at the company’s factory in China with Unitree representative Yolanda.
Roger Chu, a PhD researcher at UC San Diego working with Professor Shaolong Wang, joins RoboPapers hosts Michael and Chris to discuss using task-specific human demonstrations to improve humanoid robot learning.
