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200 papers

Hexapod robots are potentially suitable for carrying out tasks in cluttered environments since they are stable, compact, and light weight. They also have multi-joint legs and variable height bodies that make them good candidates for tasks…

Robotics · Computer Science 2024-12-17 Tomson Qu , Dichen Li , Avideh Zakhor , Wenhao Yu , Tingnan Zhang

Although bipedal locomotion provides the ability to traverse unstructured environments, it requires careful planning and control to safely walk across without falling. This poses an integrated challenge for the robot to perceive, plan, and…

Legged robots traversing in confined environments could find their only path is blocked by obstacles. In circumstances where the obstacles are movable, a multilegged robot can manipulate the obstacles using its legs to allow it to continue…

Robotics · Computer Science 2020-11-13 Bethany Lu , Benjamin Tam , Navinda Kottege

Hybrid track/wheel-legged robots combine the advantages of wheel-based and leg-based locomotion, granting adaptability across varied terrains through efficient transitions between rolling and walking modes. However, automating these…

Robotics · Computer Science 2024-04-04 Jie Wang , Krispin Davies

Operating in environments too harsh or inaccessible for humans is one of the critical roles expected of robots. However, such environments often pose risks to electronic components as well. To overcome this, various approaches have been…

Robotics · Computer Science 2025-09-16 Takahiro Hattori , Kento Kawaharazuka , Kei Okada

This paper presents a combined task and motion planner for a robot arm to carry out 3D metal wire curving tasks by collaborating with a bending machine. We assume a collaborative robot that is safe to work in a human environment but has a…

Robotics · Computer Science 2022-03-09 Ruishuang Liu , Weiwei Wan , Emiko Isomura , Kensuke Harada

Interests in exploration of new energy resources are increasing due to the exhaustion of existing resources. To explore new energy sources, various studies have been conducted to improve the drilling performance of drilling equipment for…

Robotics · Computer Science 2020-08-28 Junseok Lee , Christian Tirtawardhana , Hyun Myung

Robot navigation requires an autonomy pipeline that is robust to environmental changes and effective in varying conditions. Teach and Repeat (T&R) navigation has shown high performance in autonomous repeated tasks under challenging…

Robotics · Computer Science 2024-05-31 Payam Nourizadeh , Michael Milford , Tobias Fischer

Autonomous dual-arm manipulation is an essential skill to deploy robots in unstructured scenarios. However, this is a challenging undertaking, particularly in terms of perception and planning. Unstructured scenarios are full of objects with…

Snakes and their bio-inspired robot counterparts have demonstrated locomotion on a wide range of terrains. However, dynamic vertical climbing is one locomotion strategy that has received little attention in the existing snake robotics…

Robotics · Computer Science 2023-06-14 Brian Van Stratum , Kourosh Shoele , Jonathan E. Clark

Multi-legged mobile robots possess high mobility performance in rough terrain environments, stemming from their high postural stability, joint flexibility, and the redundancy provided by multiple legs. In prior research on navigating…

Robotics · Computer Science 2025-10-30 Yusuke Tsunoda , Seiya Yamamoto , Kazuki Ito , Runze Xiao , Keisuke Naniwa , Koichi Osuka

Pneumatically operated soft growing robots that extend via tip eversion are well-suited for navigation in confined spaces. Adding the ability to interact with the environment using sensors and tools attached to the robot tip would greatly…

Reticular structures form the backbone of major infrastructure like bridges, pylons, and airports, but their inspection and maintenance are costly and hazardous, often requiring human intervention. While prior research has focused on fault…

We present a highly reactive controller which enables bipedal robots to blindly walk over various kinds of uneven terrains while resisting pushes. The high level motion planner does fast online optimization for footstep locations and Center…

Robotics · Computer Science 2021-09-21 Ke Wang , Hengyi Fei , Petar Kormushev

A question that many researchers in social robotics are addressing is how to create more human-like behaviour in robots to make the collaboration between a human and a robot more intuitive to the human partner. In order to develop a…

Robotics · Computer Science 2022-07-12 Rebeka Kropivšek Leskovar , Jernej Čamernik , Tadej Petrič

Fish exhibit impressive locomotive performance and agility in complex underwater environments, using their undulating tails and pectoral fins for propulsion and maneuverability. Replicating these abilities in robotic fish is challenging;…

Robotics · Computer Science 2023-08-28 Timothy J. K. Ng , Nan Chen , Fu Zhang

Recent advancements in whole-body control through deep reinforcement learning have enabled humanoid robots to achieve remarkable progress in real-world chal lenging locomotion skills. However, existing approaches often struggle with…

Robotics · Computer Science 2026-04-17 Yuen-Fui Lau , Qihan Zhao , Yinhuai Wang , Runyi Yu , Hok Wai Tsui , Qifeng Chen , Ping Tan

The demand and the potential for automation in the construction sector is unmatched, particularly for increasing environmental sustainability, improving worker safety and reducing labor shortages. We have developed an autonomous walking…

Within this paper, the problem of 3D structural inspection path planning for distributed infrastructure using aerial robots that are subject to time constraints is addressed. The proposed algorithm handles varying spatial properties of the…

Robotics · Computer Science 2016-12-28 Kostas Alexis , Christos Papachristos , Roland Siegwart , Anthony Tzes

This work contributes a marsupial robotic system-of-systems involving a legged and an aerial robot capable of collaborative mapping and exploration path planning that exploits the heterogeneous properties of the two systems and the ability…