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Many organisms leverage an interplay between shape and activity to generate motion and adapt to their environment. Embedding such feedback into synthetic microrobots could eliminate the need for sensors, software, and actuators, yet current…

软凝聚态物质 · 物理学 2025-06-19 Mengshi Wei , Daniela J. Kraft

Legged robots have demonstrated remarkable agility on rigid, stationary ground, but their locomotion reliability remains limited in non-inertial environments, where the supporting ground moves, tilts, or accelerates. Such conditions arise…

机器人学 · 计算机科学 2026-04-24 I-Chia Chang , Xinyan Huang , Tzu-Yuan Lin , Sangli Teng , Wenjing Li , Maani Ghaffari , Jingang Yi , Yan Gu

While quadruped robots usually have good stability and load capacity, bipedal robots offer a higher level of flexibility / adaptability to different tasks and environments. A multi-modal legged robot can take the best of both worlds. In…

机器人学 · 计算机科学 2022-02-25 Chen Yu , Andre Rosendo

Achieving effective locomotion on diverse terrestrial substrates can require subtle changes of limb kinematics. Biologically inspired legged robots (physical models of organisms) have shown impressive mobility on hard ground but suffer…

生物物理 · 物理学 2019-11-04 Chen Li , Paul B. Umbanhowar , Haldun Komsuoglu , Daniel I. Goldman

Contemporary robots have become exceptionally skilled at achieving specific tasks in structured environments. However, they often fail when faced with the limitless permutations of real-world unstructured environments. This motivates…

机器人学 · 计算机科学 2024-07-16 Weiming Zhi

Developing natural and diverse locomotion controllers for quadruped robots that can adapt to complex terrains while preserving motion style remains a significant challenge. Existing imitation-based methods face a fundamental optimization…

机器人学 · 计算机科学 2026-04-21 Zhiquan Wang , Yunyu Liu , Dipam Patel , Ayush Kumar , Aniket Bera , Bedrich Benes

Evolutionary algorithms offer great promise for the automatic design of robot bodies, tailoring them to specific environments or tasks. Most research is done on simplified models or virtual robots in physics simulators, which do not capture…

机器人学 · 计算机科学 2020-05-20 Tonnes F. Nygaard , David Howard , Kyrre Glette

Multi-modal robots expand their operations from one working medium to another, land to air for example. The majorities of multi-modal robots mainly refer to platforms that operate in two different media. However, for all-terrain tasks,…

机器人学 · 计算机科学 2023-09-25 Shiqi Yang , Kaiwen Xue , Minen Lv , Yingtai Xu , Jingyi Yang , Yiying Lu , Chongfeng Liu , Huihuan Qian

The automatic design of embodied agents (e.g. robots) has existed for 31 years and is experiencing a renaissance of interest in the literature. To date however, the field has remained narrowly focused on two kinds of anatomically simple…

机器人学 · 计算机科学 2024-12-03 Muhan Li , Lingji Kong , Sam Kriegman

In many systems motion occurs on deformed and deformable surfaces, setting up the possibility for dynamical interactions solely mediated by the coupling of the entities with their environment. Here we study the "two-body" dynamics of robot…

Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. To acquire comprehensive exteroceptive information, prior studies have employed motion…

机器人学 · 计算机科学 2025-03-04 Ruiqi Yu , Qianshi Wang , Yizhen Wang , Zhicheng Wang , Jun Wu , Qiuguo Zhu

Many different robots have been designed and built to work under water. In many cases, researchers have chosen to use bio-inspired platforms. In most cases, the main goal of the fish inspired robots has been set to autonomously swim and…

机器人学 · 计算机科学 2018-08-29 Mohammad Sharifzadeh , Roozbeh Khodambashi , Wenlong Zhang , Daniel Aukes

Robotic navigation concerns the task in which a robot should be able to find a safe and feasible path and traverse between two points in a complex environment. We approach the problem of robotic navigation using reinforcement learning and…

机器人学 · 计算机科学 2019-06-18 Muhammad Usama , Dong Eui Chang

Multi-legged robots offer enhanced stability to navigate complex terrains with their multiple legs interacting with the environment. However, how to effectively coordinate the multiple legs in a larger action exploration space to generate…

机器人学 · 计算机科学 2025-11-06 Xin Liu , Jinze Wu , Yinghui Li , Chenkun Qi , Yufei Xue , Feng Gao

Planetary exploration missions require robots capable of navigating extreme and unknown environments. While wheeled rovers have dominated past missions, their mobility is limited to traversable surfaces. Legged robots, especially…

Navigation is a fundamental capacity for mobile robots, enabling them to operate autonomously in complex and dynamic environments. Conventional approaches use probabilistic models to localize robots and build maps simultaneously using…

机器人学 · 计算机科学 2025-07-08 Tuan Dang , Manfred Huber

The human brain's plasticity allows for the integration of artificial body parts into the human body. Leveraging this, embodied systems realize intuitive interactions with the environment. We introduce a novel concept: embodied swarm…

Although wheeled robots have been predominant for planetary exploration, their geometry limits their capabilities when traveling over steep slopes, through rocky terrains, and in microgravity. Legged robots equipped with grippers are a…

Unlike their large-scale counterparts, small-scale robots are largely confined to laboratory environments and are rarely deployed in real-world settings. As robot size decreases, robot-terrain interactions fundamentally change; however,…

机器人学 · 计算机科学 2026-03-09 Duncan Andrews , Landon Zimmerman , Evan Martin , Joe DiGennaro , Baxi Chong

Quadrupedal robots hold promising potential for applications in navigating cluttered environments with resilience akin to their animal counterparts. However, their floating base configuration makes them vulnerable to real-world…

机器人学 · 计算机科学 2026-02-27 I Made Aswin Nahrendra , Byeongho Yu , Minho Oh , Dongkyu Lee , Seunghyun Lee , Hyeonwoo Lee , Hyungtae Lim , Hyun Myung