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The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performance in dynamic obstacle avoidance. However, these…

This paper introduces PyRobot, an open-source robotics framework for research and benchmarking. PyRobot is a light-weight, high-level interface on top of ROS that provides a consistent set of hardware independent mid-level APIs to control…

The future robots are expected to work in a shared physical space with humans [1], however, the presence of humans leads to a dynamic environment that is challenging for mobile robots to navigate. The path planning algorithms designed to…

Robotics · Computer Science 2022-02-09 Prabhjot Kaur , Zichuan Liu , Weisong Shi

Bots are software systems designed to support users by automating a specific process, task, or activity. When such systems implement a conversational component to interact with the users, they are also known as conversational agents. Bots,…

Software Engineering · Computer Science 2025-03-18 Stefano Lambiase , Gemma Catolino , Fabio Palomba , Filomena Ferrucci

Local motion planning is a heavily researched topic in the field of robotics with many promising algorithms being published every year. However, it is difficult and time-consuming to compare different methods in the field. In this paper, we…

Robotics · Computer Science 2022-10-13 Max Spahn , Chadi Salmi , Javier Alonso-Mora

Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact…

As collaborative robots enter industrial shop floors, logistics, and manufacturing, rapid and flexible evaluation of human-machine interaction has become more important. The availability of consumer headsets for virtual and augmented…

Robotics · Computer Science 2022-09-21 Khaled Kassem , Florian Michahelles

Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require numerical evaluation of likelihoods. However, a public benchmark with appropriate performance metrics for…

Machine Learning · Statistics 2021-04-12 Jan-Matthis Lueckmann , Jan Boelts , David S. Greenberg , Pedro J. Gonçalves , Jakob H. Macke

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation has advanced tremendously in recent years, the fair evaluation…

This paper presents UAIbot, a free and open-source web-based robotics simulator designed to address the educational and research challenges conventional simulation platforms generally face. The Python and JavaScript interfaces of UAIbot…

Recently, there has been a wealth of development in motion planning for robotic manipulation new motion planners are continuously proposed, each with their own unique strengths and weaknesses. However, evaluating new planners is challenging…

The evaluation of robot capabilities to navigate human crowds is essential to conceive new robots intended to operate in public spaces. This paper initiates the development of a benchmark tool to evaluate such capabilities; our long term…

Benchmarks are a useful tool for empirical performance comparisons. However, one of the main shortcomings of existing benchmarks is that it remains largely unclear how they relate to real-world problems. What does an algorithm's performance…

Neural and Evolutionary Computing · Computer Science 2020-04-15 Koen van der Blom , Timo M. Deist , Tea Tušar , Mariapia Marchi , Yusuke Nojima , Akira Oyama , Vanessa Volz , Boris Naujoks

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it…

Artificial Intelligence · Computer Science 2025-01-16 Jason Yik , Korneel Van den Berghe , Douwe den Blanken , Younes Bouhadjar , Maxime Fabre , Paul Hueber , Weijie Ke , Mina A Khoei , Denis Kleyko , Noah Pacik-Nelson , Alessandro Pierro , Philipp Stratmann , Pao-Sheng Vincent Sun , Guangzhi Tang , Shenqi Wang , Biyan Zhou , Soikat Hasan Ahmed , George Vathakkattil Joseph , Benedetto Leto , Aurora Micheli , Anurag Kumar Mishra , Gregor Lenz , Tao Sun , Zergham Ahmed , Mahmoud Akl , Brian Anderson , Andreas G. Andreou , Chiara Bartolozzi , Arindam Basu , Petrut Bogdan , Sander Bohte , Sonia Buckley , Gert Cauwenberghs , Elisabetta Chicca , Federico Corradi , Guido de Croon , Andreea Danielescu , Anurag Daram , Mike Davies , Yigit Demirag , Jason Eshraghian , Tobias Fischer , Jeremy Forest , Vittorio Fra , Steve Furber , P. Michael Furlong , William Gilpin , Aditya Gilra , Hector A. Gonzalez , Giacomo Indiveri , Siddharth Joshi , Vedant Karia , Lyes Khacef , James C. Knight , Laura Kriener , Rajkumar Kubendran , Dhireesha Kudithipudi , Shih-Chii Liu , Yao-Hong Liu , Haoyuan Ma , Rajit Manohar , Josep Maria Margarit-Taulé , Christian Mayr , Konstantinos Michmizos , Dylan R. Muir , Emre Neftci , Thomas Nowotny , Fabrizio Ottati , Ayca Ozcelikkale , Priyadarshini Panda , Jongkil Park , Melika Payvand , Christian Pehle , Mihai A. Petrovici , Christoph Posch , Alpha Renner , Yulia Sandamirskaya , Clemens JS Schaefer , André van Schaik , Johannes Schemmel , Samuel Schmidgall , Catherine Schuman , Jae-sun Seo , Sadique Sheik , Sumit Bam Shrestha , Manolis Sifalakis , Amos Sironi , Kenneth Stewart , Matthew Stewart , Terrence C. Stewart , Jonathan Timcheck , Nergis Tömen , Gianvito Urgese , Marian Verhelst , Craig M. Vineyard , Bernhard Vogginger , Amirreza Yousefzadeh , Fatima Tuz Zohora , Charlotte Frenkel , Vijay Janapa Reddi

This paper presents a dataset, called Reeds, for research on robot perception algorithms. The dataset aims to provide demanding benchmark opportunities for algorithms, rather than providing an environment for testing application-specific…

Computer Vision and Pattern Recognition · Computer Science 2021-09-20 Ola Benderius , Christian Berger , Krister Blanch

We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended deep research tasks in enterprise settings. Unlike prior benchmarks that focus on simple questions or web-only queries, DRBench evaluates agents on multi-step…

Benchmarking is crucial for testing and validating any system, even more so in real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working…

Software Engineering · Computer Science 2022-08-02 Mattia Nicolella , Shahin Roozkhosh , Denis Hoornaert , Andrea Bastoni , Renato Mancuso

This paper presents a research platform that supports spoken dialogue interaction with multiple robots. The demonstration showcases our crafted MultiBot testing scenario in which users can verbally issue search, navigate, and follow…

The Edge computing paradigm has gained prominence in both academic and industry circles in recent years. By implementing edge computing facilities and services in robotics, it becomes a key enabler in the deployment of artificial…

Robotics · Computer Science 2025-07-02 Nazish Tahir , Ramviyas Parasuraman

Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we propose a method to benchmark metrics of robotic…

Robotics · Computer Science 2023-06-09 Xiaobo Liu , Fang Wan , Sheng Ge , Haokun Wang , Haoran Sun , Chaoyang Song