DreamZero is a World Action Model by NVIDIA that replaces the Vision-Language backbone common in VLAs with a video diffusion model to inherit richer physical priors. I compare DreamZero with π0.5 across 12 tasks in Isaac Sim on a DROID setup.
We use reinforcement learning in NVIDIA Isaac Lab to train Boston Dynamics' Spot to move using only its hind legs. Despite several challenges, we deploy the policy in the real world and show how well the sim-to-real policy transfer works.
Grievous is a low-cost mobile manipulation platform built on XLeRobot, extended with onboard SO-101 leader arms for fast in-place teleoperation. We finetune SmolVLA on pick-and-place and dusting tasks collected in lab environment and showcase current …
I recently joined the Center for Autonomy at UT Austin as a Postdoctoral Fellow, returning to the robotics frontier after co-founding and scaling a defense AI startup to seven-figure funding.
From voice command to synchronized flip: we show our early autonomous mission planning work that grew into Multi AI, including Tello drone choreography and a loyal wingman simulation for unmanned-manned teaming.
What if a drone could build structures humans can't reach? We investigate integrating underactuated multicopters with 3D printing for large-scale remote additive manufacturing — demonstrating aerial positioning accuracy competitive with ground-based …
In recent years, large-scale and fully-remote 3D printing with robots has garnered significant interest in construction applications. Combining the design freedom of 3D printing with a robot's versatility offers unique and promising opportunities for …
This paper presents a self-supervised Learning from Learned Hallucination (LfLH) method to learn fast and reactive motion planners for ground and aerial robots to navigate through highly constrained environments. The recent Learning from …
Standard path planners proved insufficient for dense multi-drone environments. We develop custom algorithms on top of EGO-Planner to enable robust obstacle avoidance in the Texas Robotics motion capture space, supporting advanced multi-agent …
Current limitations in vertical and horizontal mobility for ground robots in 3D printing of medium to large-scale objects have recently led to the development of a 3D printing hexacopter testbed at the University of Texas at Austin. This testbed can …