RobotMe
← University Research
University of Maryland · Embodied AI

UMD tests robot learning, glass perception and visual-tactile memory

Physical demonstrations and benchmark studies
Related dexterous hardware: an articulated robotic forearm and hand at VivaTech. This is not the experiment described in this brief.
Related manipulation hardware: a robotic forearm and hand. UMD’s glass-perception and visual-tactile experiments are not pictured. Image: Jérémy Barande / Ecole polytechnique Université Paris-Saclay · CC BY-SA 2.0 · 3840 × 2560 · Downsampled where needed to 4K or larger and WebP optimized; smaller card preview. No upscaling.

What happened

UMD reports that HumanEgo averaged 92.5% success across four robot tasks after 30 minutes of human video per task and transferred to different robots and environments without retraining. PolarDepth improved estimates in real and synthetic glass-walled scenes, while SkillFormer reduced slip-detection delay by 87% in a bottle-capping test.

Why it matters

The results cover specific controlled tasks and workshop demonstrations rather than sustained operation in homes or workplaces. The university report does not establish broad reliability, deployment scale or commercial availability for any of the systems.

Source checked October 31, 2026. Status describes the evidence in the linked source at the time of review.