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The increasing demand for accelerated scientific discovery, driven by global challenges, highlights the need for advanced AI-driven robotics. Deploying robotic chemists in human-centric labs is key for the next horizon of autonomous…

Robotics · Computer Science 2026-03-12 Cenk Cetin , Shreyas Pouli , Gabriella Pizzuto

Chemists need to perform many laborious and time-consuming experiments in the lab to discover and understand the properties of new materials. To support and accelerate this process, we propose a robot framework for manipulation that…

Robotic automation is accelerating scientific discovery by reducing manual effort in laboratory workflows. However, precise manipulation of powders remains challenging, particularly in tasks such as transport that demand accuracy and…

Robotics · Computer Science 2025-12-01 Minglun Wei , Xintong Yang , Yu-Kun Lai , Ze Ji

A well-rounded introduction to work in a STEM laboratory is vital to scientific education. Besides the ability to use available instrumentation for sample characterization, students should also be imparted knowledge in the steps of…

Classical policy search algorithms for robotics typically require performing extensive explorations, which are time-consuming and expensive to implement with real physical platforms. To facilitate the efficient learning of robot…

Robotics · Computer Science 2023-04-25 Shengzeng Huo , Anqing Duan , Lijun Han , Luyin Hu , Hesheng Wang , David Navarro-Alarcon

A seamless integration of robots into human environments requires robots to learn how to use existing human tools. Current approaches for learning tool manipulation skills mostly rely on expert demonstrations provided in the target robot…

Robotics · Computer Science 2021-11-08 Kateryna Zorina , Justin Carpentier , Josef Sivic , Vladimír Petrík

The Reinforcement Learning (RL) paradigm has been an essential tool for automating robotic tasks. Despite the advances in RL, it is still not widely adopted in the industry due to the need for an expensive large amount of robot interaction…

This paper addresses the problem of robotic cutting during disassembly of products for materials separation and recycling. Waste handling applications differ from milling in manufacturing processes, as they engender considerable variety and…

Robotics · Computer Science 2023-08-30 Jamie Hathaway , Alireza Rastegarpanah , Rustam Stolkin

Scientists perform diverse manual procedures that are tedious and laborious. Such procedures are considered a bottleneck for modern experimental science, as they consume time and increase burdens in fields including material science and…

Automation can transform productivity in research activities that use liquid handling, such as organic synthesis, but it has made less impact in materials laboratories, which require sample preparation steps and a range of solid-state…

Laboratory robotics offer the capability to conduct experiments with a high degree of precision and reproducibility, with the potential to transform scientific research. Trivial and repeatable tasks; e.g., sample transportation for analysis…

Automation underpins progress across scientific and industrial disciplines. Yet, automating tasks requiring interpretation of abstract visual information remain challenging. For example, crystal alignment strongly relies on humans with the…

Machine Learning · Computer Science 2026-04-14 J. Oppliger , M. Stifter , A. Rüegg , I. Biało , L. Martinelli , P. G. Freeman , D. Prabhakaran , J. Zhao , Q. Wang , J. Chang

Increasingly large datasets of robot actions and sensory observations are being collected to train ever-larger neural networks. These datasets are collected based on tasks and while these tasks may be distinct in their descriptions, many…

Robotics · Computer Science 2025-10-23 Basavasagar Patil , Sydney Belt , Jayjun Lee , Nima Fazeli , Bernadette Bucher

How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on…

Robotics · Computer Science 2025-02-11 Shiming He , Alexander von Rohr , Dominik Baumann , Ji Xiang , Sebastian Trimpe

Machine learning offers remarkable benefits for improving workplaces and working conditions amongst others in the recycling industry. Here e.g. hand-sorting of medium value scrap is labor intensive and requires experienced and skilled…

Machine Learning · Computer Science 2019-03-25 Maximilian Auer , Kai Osswald , Raphael Volz , Joerg Woidasky

Simulators are an important tool in robotics that is used to develop robot software and generate synthetic data for machine learning algorithms. Faster simulation can result in better software validation and larger amounts of data. Previous…

This study presents a collection of physical devices and software services that fully automate Raman spectra measurements for liquid samples within a robotic facility. This method is applicable to various fields, with demonstrated efficacy…

Human-robot cooperation is essential in environments such as warehouses and retail stores, where workers frequently handle deformable objects like paper, bags, and fabrics. Coordinating robotic actions with human assistance remains…

Robotics · Computer Science 2025-11-06 Rewida Ali , Cristian C. Beltran-Hernandez , Weiwei Wan , Kensuke Harada

Robotic packaging using wrapping paper poses significant challenges due to the material's complex deformation properties. The packaging process itself involves multiple steps, primarily categorized as folding the paper or creating creases.…

Robotics · Computer Science 2025-03-21 Hiroki Hanai , Takuya Kiyokawa , Weiwei Wan , Kensuke Harada

Humans demonstrate an impressive ability to acquire and generalize manipulation "tricks." Even from a single demonstration, such as using soup ladles to reach for distant objects, we can apply this skill to new scenarios involving different…

Robotics · Computer Science 2023-11-07 Jiayuan Mao , Joshua B. Tenenbaum , Tomás Lozano-Pérez , Leslie Pack Kaelbling
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