From the 1 of 5 linked papers with an AI index.
5 papers
Gripper-aware Vision Language Action Models
Hanyi Zhang, Zihong Luo, Tianyu Li +16
Vision language action models (VLAs) have advanced general purpose robotic grasping and manipulation by enabling robots to interpret visual observations and natural language instru…
Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution
Hanyi Zhang, Khang Nguyen, Charith Munasinghe +10
The paper introduces GCA-Bench, a new benchmark for evaluating robotic grasping in complex, multi-step scenarios that require scene-level reasoning and semantic constraints, and as…
AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers
Nghia Vu, Tuong Do, Khang Nguyen +8
Affordance learning is a complex challenge in many applications, where existing approaches primarily focus on the geometric structures, visual knowledge, and affordance labels of o…
Probe-to-Grasp Manipulation Using Self-Sensing Pneumatic Variable-Stiffness Joints
Ngoc Duy Tran, Yeman Fan, Feng Dai +5
Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an op…
CADKnitter: Compositional CAD Generation from Text and Geometry Guidance
Tri Le, Khang Nguyen, Baoru Huang +2
Crafting computer-aided design (CAD) models has long been a painstaking and time-intensive task, demanding both precision and expertise from designers. With the emergence of 3D gen…