Goto

Collaborating Authors

 Littleton


Rotograb: Combining Biomimetic Hands with Industrial Grippers using a Rotating Thumb

Bersier, Arnaud, Leonforte, Matteo, Vanetta, Alessio, Wotke, Sarah Lia Andrea, Nappi, Andrea, Zhou, Yifan, Oliani, Sebastiano, Kübler, Alexander M., Katzschmann, Robert K.

arXiv.org Artificial Intelligence

The development of robotic grippers and hands for automation aims to emulate human dexterity without sacrificing the efficiency of industrial grippers. This study introduces Rotograb, a tendon-actuated robotic hand featuring a novel rotating thumb. The aim is to combine the dexterity of human hands with the efficiency of industrial grippers. The rotating thumb enlarges the workspace and allows in-hand manipulation. A novel joint design minimizes movement interference and simplifies kinematics, using a cutout for tendon routing. We integrate teleoperation, using a depth camera for real-time tracking and autonomous manipulation powered by reinforcement learning with proximal policy optimization. Experimental evaluations demonstrate that Rotograb's rotating thumb greatly improves both operational versatility and workspace. It can handle various grasping and manipulation tasks with objects from the YCB dataset, with particularly good results when rotating objects within its grasp. Rotograb represents a notable step towards bridging the capability gap between human hands and industrial grippers. The tendon-routing and thumb-rotating mechanisms allow for a new level of control and dexterity. Integrating teleoperation and autonomous learning underscores Rotograb's adaptability and sophistication, promising substantial advancements in both robotics research and practical applications.


TrustUQA: A Trustful Framework for Unified Structured Data Question Answering

Zhang, Wen, Jin, Long, Zhu, Yushan, Chen, Jiaoyan, Huang, Zhiwei, Wang, Junjie, Hua, Yin, Liang, Lei, Chen, Huajun

arXiv.org Artificial Intelligence

Natural language question answering (QA) over structured data sources such as tables and knowledge graphs (KGs) have been widely investigated, for example with Large Language Models (LLMs). The main solutions include question to formal query parsing and retrieval-based answer generation. However, current methods of the former often suffer from weak generalization, failing to dealing with multiple sources simultaneously, while the later is limited in trustfulness. In this paper, we propose UnifiedTQA, a trustful QA framework that can simultaneously support multiple types of structured data in a unified way. To this end, it adopts an LLM-friendly and unified knowledge representation method called Condition Graph (CG), and uses an LLM and demonstration-based two-level method for CG querying. For enhancement, it is also equipped with dynamic demonstration retrieval. We have evaluated UnifiedTQA with 5 benchmarks covering 3 types of structured data. It outperforms 2 existing unified structured data QA methods and in comparison with the baselines that are specific to a data type, it achieves state-of-the-art on 2 of them. Further more, we demonstrates potential of our method for more general QA tasks, QA over mixed structured data and QA across structured data.


Tesla robot goes haywire on engineer in Texas factory: 'Trail of blood'

FOX News

Production of the Tesla CyberTruck is delayed, so a man in Vietnam made his own. A Tesla engineer was reportedly a victim of a bloody attack by a robot at a factory near Austin, Texas. Recent reports revealed that a 2021 injury report which claims the robot that was designed to move aluminum car parts, pinned the engineer against a surface and dug its metal claws into the his back and arm, according to witnesses who spoke to The Information in a story published last month. After another worker hit an emergency stop button, the engineer maneuvered his way out of the robot's grasp, falling a couple of feet down a chute designed to collect scrap aluminum and leaving a trail of blood behind him, one of the witnesses told The Information. The attack reportedly occurred while the engineer was programming software for two disabled Tesla robots nearby.


US probes crash involving Tesla that hit student exiting school bus

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. U.S. road safety regulators have sent a team to investigate a crash involving a Tesla that may have been operating on a partially automated driving system when it struck a student who had just exited a school bus. The National Highway Traffic Safety Administration Friday that it will probe the March 15 crash in Halifax County, North Carolina, that injured a 17-year-old student. The State Highway Patrol said the driver of the 2022 Tesla Model Y, a 51-year-old male, failed to stop for the bus, which was displaying all of its activated warning devices.


Who will speak at Data Day Texas 2023

#artificialintelligence

We're just now sending invites and beginning to confirm speakers for the upcoming edition in January. If you'd like to join us as a speaker, take a look at our Proposals page. As Vice President of Developer Experience at Treeverse, Adi Polak shapes the future of data & ML technologies for hands-on builders. She also contributes to the lakeFS open-source, a git-like interface for object stores. In her work, she brings her vast industry research and engineering experience to bear in educating and helping teams design, architect, and build cost-effective data systems and machine learning pipelines that emphasize scalability, expertise, and business goals.


Space News: NASA mission helps solve a mystery -- why are some asteroid surfaces rocky?

#artificialintelligence

This image shows a view of asteroid Bennu's rocky surface in a region near the equator. Scientists thought Bennu's surface was like a sandy beach, abundant in fine sand and pebbles, which would have been perfect for collecting samples. Past telescope observations from Earth had suggested the presence of large swaths of fine-grained material smaller than a few centimeters called fine regolith. But when NASA's OSIRIS-REx mission arrived at Bennu in late 2018, the mission saw a surface covered in boulders. The mysterious lack of fine regolith became even more surprising when mission scientists observed evidence of processes potentially capable of grinding boulders into fine regolith.


Incredible photos reveal the moment NASA's OSIRIS-Rex made historic touchdown on asteroid Bennu

Daily Mail - Science & tech

Stunning images taken from the historic OSIRIS-REx mission show the moment the spacecraft touched down on the asteroid Bennu more than 200 million miles away from Earth to collect a sample of dirt and dust Tuesday night. On Wednesday NASA unveiled videos and images showing the moment the spacecraft pulled off the six-second touch-and-go (TAG) mission where it bounced off the asteroid's surface and picked up samples along the way. The triumphant $1.16 billion mission is the first American effort to take a sample from an asteroid with the hopes to unlock secrets about the origin of life on Earth. The sample will be returned to Earth in 2023. The images show how the spacecraft descended within three feet of the target landing spot dubbed Nightingale on the asteroid while avoiding boulders the size of buildings.


Colorado at the forefront of AI and what it means for jobs of the future

#artificialintelligence

A group of MIT researchers visited Lockheed Martin this month for a chance to talk about the future of artificial intelligence and automation. Liz Reynolds is the executive director of the MIT Task Force on the Work of the Future and says her job is to focus on the relationship between new technologies and how they will affect jobs. "Colorado is at the forefront of thinking about these things," Reynolds said. "All jobs will be affected by this technology." Earlier this year, U.S. Sen. Michael Bennet, D-Colo., created an artificial intelligence strategy group to take a closer look at how AI is being used in the state and how that will change in the future.


Blaming video games for school shootings may reflect racist beliefs, study says

Daily Mail - Science & tech

People have long blamed video games as a cause of school shootings, but a new study has found that this is more likely to be the case if the perpetrator is white. Researchers have found that video games are eight times more likely to be mentioned when the perpetrator was a white male than if the shooter were an African American male. Experts believe the public looks to find an explanation for this type of behavior if the act is carried out by someone who doesn't match the racial stereotype of a violent person. Although many politicians and media outlets point to violent video games as the cause of school shootings, experts have yet to find scientific evidence to support these claims. 'Video games are often used by lawmakers and others as a red herring to distract from other potential causes of school shootings,' said lead researcher Patrick Markey, PhD, a psychology professor at Villanova University.


First steps to a constructor theory of cognition

Franco, Riccardo

arXiv.org Artificial Intelligence

This article applies the conceptual framework of constructor theory of information to cognition theory. The main result of this work is that cognition theory, in specific situations concerning for example the conjunction fallacy heuristic, requires the use of superinformation media, just as quantum theory. This result entails that quantum and cognition theories can be considered as elements of a general class of superinformation-based subsidiary theories.