Interdiff: Generating 3d human-object interactions with physics-informed diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
Unidexgrasp: Universal robotic dexterous gras** via learning diverse proposal generation and goal-conditioned policy
In this work, we tackle the problem of learning universal robotic dexterous gras** from a
point cloud observation under a table-top setting. The goal is to grasp and lift up objects in …
point cloud observation under a table-top setting. The goal is to grasp and lift up objects in …
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …
state changes are typically caused by human manipulation (eg, the opening of a book). This …
Smplicit: Topology-aware generative model for clothed people
In this paper we introduce SMPLicit, a novel generative model to jointly represent body
pose, shape and clothing geometry. In contrast to existing learning-based approaches that …
pose, shape and clothing geometry. In contrast to existing learning-based approaches that …
GOAL: Generating 4D whole-body motion for hand-object gras**
Generating digital humans that move realistically has many applications and is widely
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …
Diffusion-guided reconstruction of everyday hand-object interaction clips
We tackle the task of reconstructing hand-object interactions from short video clips. Given an
input video, our approach casts 3D inference as a per-video optimization and recovers a …
input video, our approach casts 3D inference as a per-video optimization and recovers a …
Review of learning-based robotic manipulation in cluttered environments
MQ Mohammed, LC Kwek, SC Chua, A Al-Dhaqm… - Sensors, 2022 - mdpi.com
Robotic manipulation refers to how robots intelligently interact with the objects in their
surroundings, such as gras** and carrying an object from one place to another. Dexterous …
surroundings, such as gras** and carrying an object from one place to another. Dexterous …