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Purpose of Review: As new technological advancements are made, humanoid robots that utilise them are being designed and manufactured. For optimal design choices, a broad overview with insight on the advantages and disadvantages of available…

机器人学 · 计算机科学 2021-03-09 Grzegorz Ficht , Sven Behnke

Robotic hardware designs are becoming more complex as the variety and number of on-board sensors increase and as greater computational power is provided in ever-smaller packages on-board robots. These advances in hardware, however, do not…

神经与进化计算 · 计算机科学 2007-06-05 D. A. Sofge , M. A. Potter , M. D. Bugajska , A. C. Schultz

Soft robots have the ability to adapt to their environment, which makes them suitable for use in disaster areas and agricultural fields, where their mobility is constrained by complex terrain. One of the main challenges in developing soft…

机器人学 · 计算机科学 2023-04-11 Abu Nayem Md. Asraf Siddiquee , Benjamin Colfer , Yasemin Ozkan-Aydin

Developing robots that can assist humans efficiently, safely, and adaptively is crucial for real-world applications such as healthcare. While previous work often assumes a centralized system for co-optimizing human-robot interactions, we…

机器人学 · 计算机科学 2024-12-30 Jason Qin , Shikun Ban , Wentao Zhu , Yizhou Wang , Dimitris Samaras

Drug development is becoming more and more complex and resource-intensive. To reduce the costs and the time-to-market, the pharmaceutical industry employs cutting-edge automation solutions. Supportive robotics technologies, such as…

机器人学 · 计算机科学 2024-02-23 Brian Parkinson , Ádám Wolf , Péter Galambos , Károly Széll

There is incremental growth in adopting self-reconfigurable robots in automating manufacturing conventional product lines. Using this class of robots adapting themselves with ever-changing environmental conditions has been acclaimed as a…

机器人学 · 计算机科学 2020-04-20 Mahdi Fahmideh , Thorsten Lammers

Humanoid robots hold great promise in assisting humans in diverse environments and tasks, due to their flexibility and adaptability leveraging human-like morphology. However, research in humanoid robots is often bottlenecked by the costly…

机器人学 · 计算机科学 2024-06-21 Carmelo Sferrazza , Dun-Ming Huang , Xingyu Lin , Youngwoon Lee , Pieter Abbeel

Modular robotics holds immense potential for space exploration, where reliability, repairability, and reusability are critical for cost-effective missions. Coordination between heterogeneous units is paramount for precision tasks -- whether…

机器人学 · 计算机科学 2025-12-05 Elian Neppel , Ashutosh Mishra , Shamistan Karimov , Kentaro Uno , Shreya Santra , Kazuya Yoshida

Robot performance has advanced considerably both in and out of the factory, however in tightly constrained, unknown environments such as inside a jet engine or the human heart, current robots are less adept. In such cases where a borescope…

机器人学 · 计算机科学 2024-11-20 Mijaíl Jaén Mendoza , Nicholas D. Naclerio , Elliot W. Hawkes

The ability to modify morphology in response to environmental changes represents a highly advantageous feature in biological organisms, facilitating their adaptation to diverse environmental conditions. While some robots have the capability…

机器人学 · 计算机科学 2023-09-20 Saurav Kumar Dutta , Yasemin Ozkan-Aydin

Reconfigurable robots are at the forefront of robotics innovation due to their unmatched versatility and adaptability in addressing various tasks through collaborative operations. This paper explores the design and implementation of a novel…

机器人学 · 计算机科学 2025-01-07 Ollie Wiltshire , Seyed Amir Tafrishi

With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various challenges that need to be addressed to ensure seamless…

机器人学 · 计算机科学 2023-07-24 Ali Noormohammadi-Asl , Ali Ayub , Stephen L. Smith , Kerstin Dautenhahn

What if a robot could rethink its own morphological representation to better meet the demands of diverse tasks? Most robotic systems today treat their physical form as a fixed constraint rather than an adaptive resource, forcing the same…

机器人学 · 计算机科学 2026-05-05 Nataliya Nechyporenko , Yutong Zhang , Sean Campbell , Alessandro Roncone

Embodied intelligence has witnessed remarkable progress in recent years, driven by advances in computer vision, natural language processing, and the rise of large-scale multimodal models. Among its core challenges, robot manipulation stands…

This paper describes the development of a humanoid robot called ARDOP. The goal of the project is to provide a modular, open-source, and inexpensive humanoid robot that would enable researchers to answer various problems related to robotic…

机器人学 · 计算机科学 2021-08-19 Sudarshan S Harithas , Harish V Mekali

Robot capabilities are maturing across domains, from self-driving cars, to bipeds and drones. As a result, robots will soon no longer be confined to safety-controlled industrial settings; instead, they will directly interact with the…

Robotic assembly planning enables architects to explicitly account for the assembly process during the design phase, and enables efficient building methods that profit from the robots' different capabilities. Previous work has addressed…

机器人学 · 计算机科学 2023-04-21 Valentin Noah Hartmann , Andreas Orthey , Danny Driess , Ozgur S. Oguz , Marc Toussaint

This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority…

In this paper, we propose a novel design of a hybrid mobile robot with controllable stiffness and deformable shape. Compared to conventional mobile agents, our system can switch between rigid and compliant phases by solidifying or melting…

Soft robots are known for their ability to perform tasks with great adaptability, enabled by their distributed, non-uniform stiffness and actuation. Bending is the most fundamental motion for soft robot design, but creating robust, and…

机器人学 · 计算机科学 2024-10-18 Sicheng Wang , Eugenio Frias-Miranda , Antonio Alvarez Valdivia , Laura H. Blumenschein