Tootfinder

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

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.

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/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.…

smh

When topics of discourse prove difficult to approach, stories can help us on our way. This famed short story about a graceful city with an unexpected abberation helps me reflect on where I want to apply my capacity for writing, sketching and teaching.

https://axbom.com/omelas/

#DigitalEthics

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…

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…

TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
Valerija Holomjova, Jamie Grech, Dewei Yi, Bruno Yun, Andrew Starkey, Pascal Mei{\ss}ner
https://arxiv.org/abs/2506.05576

TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
Task-oriented grasping (TOG) is an essential preliminary step for robotic task execution, which involves predicting grasps on regions of target objects that facilitate intended tasks. Existing literature reveals there is a limited availability of TOG datasets for training and benchmarking despite large demand, which are often synthetic or have artifacts in mask annotations that hinder model performance. Moreover, TOG solutions often require affordance masks, grasps, and object masks for trainin…

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schr\"odinger Bridges
Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette
https://arxiv.org/abs/2506.02489

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
We propose a new approach to vision-based dexterous grasp translation, which aims to transfer grasp intent across robotic hands with differing morphologies. Given a visual observation of a source hand grasping an object, our goal is to synthesize a functionally equivalent grasp for a target hand without requiring paired demonstrations or hand-specific simulations. We frame this problem as a stochastic transport between grasp distributions using the Schrödinger Bridge formalism. Our method lear…