Tootfinder

Grasp Prediction based on Local Finger Motion Dynamics
Dimitar Valkov, Pascal Kockwelp, Florian Daiber, Antonio Kr\"uger
https://arxiv.org/abs/2506.10818

Grasp Prediction based on Local Finger Motion Dynamics
The ability to predict the object the user intends to grasp offers essential contextual information and may help to leverage the effects of point-to-point latency in interactive environments. This paper explores the feasibility and accuracy of real-time recognition of uninstrumented objects based on hand kinematics during reach-to-grasp actions. In a data collection study, we recorded the hand motions of 16 participants while reaching out to grasp and then moving real and synthetic objects. Our…

Großbritanien: WhatsApp springt Apple im Kryptokrieg zur Seite
Großbritannien will iOS per Gesetz unsicherer machen, was auch Nutzer in anderen Ländern betrifft. Die Meta-Tochter WhatsApp geht juristisch dagegen vor.

Der Verein präsentiert sich als "alternative #Gewerkschaft" und bläst zum Angriff auf #verdi und #IGMetall. Doch er hat zahlreiche Verbindungen zur

This https://arxiv.org/abs/2412.08468 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation
Multi-hand semantic grasp generation aims to generate feasible and semantically appropriate grasp poses for different robotic hands based on natural language instructions. Although the task is highly valuable, due to the lack of multihand grasp datasets with fine-grained contact description between robotic hands and objects, it is still a long-standing difficult task. In this paper, we present Multi-GraspSet, the first large-scale multi-hand grasp dataset with automatically contact annotations.…

Großbritannien: Medienaufsicht prüft mögliche Gesetzesverstöße bei 4chan
Die Ofcom hat Beschwerden erhalten, dass auf dem berüchtigten Image-Board 4chan Illegales passiere und deshalb eine Untersuchung eingeleitet.

‘c’: More Than Just Fast as We Unpack the Universe’s Master Constant
Let's dive into the universe's ultimate speed limit: the speed of light. It's a concept so fundamental that it underpins much of modern physics, yet so mind-bogglingly fast that, as you say, human intuition struggles to truly grasp it. We call it 'c', and its value in a vacuum is precisely 299,792,458 meters per second. That's not just an estimate; since 1983, the meter has been precisely defin…

RAG has revolutionised AI by merging search and generation. Agentic behaviour takes this search to the next level by enabling LLMs to make decisions and call tools. At this year's Berlin Buzzwords, Bilge Yücel will discuss how agentic behaviour enhances pipelines, what it means for a system to act as an 'agent', and core concepts such as routing, tool calling and reasoning, along with a live demo.
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Fast Estimation of Globally Optimal Independent Contact Regions for Robust Grasping and Manipulation
Jonathan P. King, Harnoor Ahluwalia, Michael Zhang, Nancy S. Pollard
https://arxiv.org/abs/2506.08856

Fast Estimation of Globally Optimal Independent Contact Regions for Robust Grasping and Manipulation
This work presents a fast anytime algorithm for computing globally optimal independent contact regions (ICRs). ICRs are regions such that one contact within each region enables a valid grasp. Locations of ICRs can provide guidance for grasp and manipulation planning, learning, and policy transfer. However, ICRs for modern applications have been little explored, in part due to the expense of computing them, as they have a search space exponential in the number of contacts. We present a divide an…

This https://arxiv.org/abs/2409.06990 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SIS: Seam-Informed Strategy for T-shirt Unfolding
Seams are information-rich components of garments. The presence of different types of seams and their combinations helps to select grasping points for garment handling. In this paper, we propose a new Seam-Informed Strategy (SIS) for finding actions for handling a garment, such as grasping and unfolding a T-shirt. Candidates for a pair of grasping points for a dual-arm manipulator system are extracted using the proposed Seam Feature Extraction Method (SFEM). A pair of grasping points for the ro…

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
Guanghu Xie, Zhiduo Jiang, Yonglong Zhang, Yang Liu, Zongwu Xie, Baoshi Cao, Hong Liu
https://arxiv.org/abs/2506.09491

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
Transparent and reflective objects in everyday environments pose significant challenges for depth sensors due to their unique visual properties, such as specular reflections and light transmission. These characteristics often lead to incomplete or inaccurate depth estimation, which severely impacts downstream geometry-based vision tasks, including object recognition, scene reconstruction, and robotic manipulation. To address the issue of missing depth information in transparent and reflective o…