5 papers
HABILIS Brain 0: Geometry-Change Supervision for Vision-Language-Action and Residual Flow Recovery
Jinu Pahk, Jesoon Kang, Taegeon Park +4
Vision-language-action policies benefit from geometric supervision, but current-frame geometry alone does not explicitly describe the changes associated with manipulation. This des…
Habilis-: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model
Tommoro Robotics, :, Jesoon Kang +22
We introduce Habilis-, a fast-motion and long-lasting on-device vision-language-action (VLA) model designed for real-world deployment. Current VLA evaluation remains largely con…
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
Byung-ju Kim, Jinu Pahk, Chungwoo Lee +6
Behavior-cloning based visuomotor policies enable precise manipulation but often inherit the slow, cautious tempo of human demonstrations, limiting practical deployment. However, p…
A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity
Seongjeong Park, Jinu Pahk, Lennart Lorenz Freimuth Jahn +3
Autonomous driving simulations require highly realistic images. Our preliminary study found that when the CARLA Simulator image was made more like reality by using DCLGAN, the perf…
Effects of Sim2Real Image Translation on Lane Keeping Assist System in CARLA Simulator
Jinu Pahk, Jungseok Shim, MinHyeok Baek +2
Autonomous vehicle simulation has the advantage of testing algorithms in various environment variables and scenarios without wasting time and resources, however, there is a visual…