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Compliance is a strong requirement for human-robot interactions. Soft-robots provide an opportunity to cover the lack of compliance in conventional actuation mechanisms, however, the control of them is very challenging given their intrinsic…

Robotics · Computer Science 2021-10-12 Mahmood Mazare , Silvia Tolu , Mostafa Taghizadeh

Fluidically actuated soft robots have promising capabilities such as inherent compliance and user safety. The control of soft robots needs to properly handle nonlinear actuation dynamics, motion constraints, workspace limitations, and…

Robotics · Computer Science 2023-01-02 Filippo A. Spinelli , Robert K. Katzschmann

Contrary to the stunning feats observed in birds of prey, aerial manipulation and grasping with flying robots still lack versatility and agility. Conventional approaches using rigid manipulators require precise positioning and are subject…

Robotics · Computer Science 2023-08-15 Samuel Ubellacker , Aaron Ray , James Bern , Jared Strader , Luca Carlone

Nature evolves creatures with a high complexity of morphological and behavioral intelligence, meanwhile computational methods lag in approaching that diversity and efficacy. Co-optimization of artificial creatures' morphology and control in…

This paper describes the Pogobot, an open-source platform specifically designed for research at the interface of swarm robotics and active matter. Pogobot features vibration-based or wheel-based locomotion, fast infrared communication, and…

Payload transport over flat terrain via multi-wheel robot carriers is well-understood, highly effective, and configurable. In this paper, our goal is to provide similar effectiveness and configurability for transport over rough terrain that…

Soft actuators offer compliant and safe interaction with an unstructured environment compared to their rigid counterparts. However, control of these systems is often challenging because they are inherently under-actuated, have infinite…

Robotics · Computer Science 2024-02-06 Sean Even , Tongjia Zheng , Hai Lin , Yasemin Ozkan-Aydin

Decision tree ensembles are widely used and competitive learning models. Despite their success, popular toolkits for learning tree ensembles have limited modeling capabilities. For instance, these toolkits support a limited number of loss…

Machine Learning · Computer Science 2022-05-20 Shibal Ibrahim , Hussein Hazimeh , Rahul Mazumder

Robotic hands with soft surfaces can perform stable grasping, but the high friction of the soft surfaces makes it difficult to release objects, or to perform operations that require sliding. To solve this issue, we previously developed a…

Robotics · Computer Science 2022-11-11 Seita Nojiri , Akihiko Yamaguchi , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

In human-robot systems, ensuring safety during force control in the presence of both internal and external disturbances is crucial. As a typical loosely coupled floating-base robot system, the supernumerary robotic leg (SRL) system is…

Robotics · Computer Science 2025-11-18 Jun Huo , Kehan Xu , Chengyao Li , Yu Cao , Jie Zuo , Xinxing Chen , Jian Huang

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…

Robotics · Computer Science 2023-04-11 Abu Nayem Md. Asraf Siddiquee , Benjamin Colfer , Yasemin Ozkan-Aydin

Designing soft robots poses considerable challenges: automated design approaches may be particularly appealing in this field, as they promise to optimize complex multi-material machines with very little or no human intervention.…

Artificial Intelligence · Computer Science 2017-11-20 Francesco Corucci , Nick Cheney , Francesco Giorgio-Serchi , Josh Bongard , Cecilia Laschi

Soft robots have immense potential given their inherent safety and adaptability, but challenges in soft actuator forces and design constraints have limited scaling up soft robots to larger sizes. Electrothermal shape memory alloy (SMA)…

Soft crawling robots exhibit efficient locomotion across various terrains and demonstrate robustness to diverse environmental conditions. Here, we propose a valveless soft-legged robot that integrates a pair of rotary bellows-enclosed soft…

Robotics · Computer Science 2025-03-11 Yiming He , Yuchen Wang , Yunjia Zhang , Shuguang Li

Continuum robots have been widely adopted in robot-assisted minimally invasive surgery (RMIS) because of their compact size and high flexibility. However, their proprioceptive capabilities remain limited, particularly in narrow lumens,…

Robotics · Computer Science 2025-06-24 Peiyu Luo , Shilong Yao , Yuhan Chen , Max Q. -H. Meng

This paper presents a novel, modular, cable-driven soft robotic arm featuring multi-segment reconfigurability. The proposed architecture enables a stackable system with independent segment control, allowing scalable adaptation to diverse…

Robotics · Computer Science 2026-03-05 Moeen Ul Islam , Cheng Ouyang , Xinda Qi , Azlan Zahid , Xiaobo Tan , Dong Chen

The use of robots in disaster sites has rapidly expanded, with soft robots attracting particular interest due to their flexibility and adaptability. They can navigate through narrow spaces and debris, facilitating efficient and safe…

Robotics · Computer Science 2025-04-08 Naoto Kikuta , Issei Onda , Kazuki Abe , Masahiro Watanabe , Kenjiro Tadakuma

Robotic arms are essential to modern industries, however, their adaptability to unstructured environments remains limited. Soft robotic arms, particularly those actuated pneumatically, offer greater adaptability in unstructured environments…

Robotics · Computer Science 2025-12-15 Runze Zuo , Dong Heon Han , Richard Li , Saima Jamal , Daniel Bruder

Current upper limb prostheses aim to enhance user independence in daily activities by incorporating basic motor functions. However, they fall short of replicating the natural movement and interaction capabilities of the human arm. In…

Robotics · Computer Science 2025-12-05 Giuseppe Milazzo , Giorgio Grioli , Antonio Bicchi , Manuel G. Catalano

The last few decades have witnessed an emerging trend of wearable soft sensors; however, there are important signal-processing challenges for soft sensors that still limit their practical deployment. They are error-prone when displaced,…

Human-Computer Interaction · Computer Science 2023-01-19 Xiaowei Chen , Xiao Jiang , Jiawei Fang , Shihui Guo , Juncong Lin , Minghong Liao , Guoliang Luo , Hongbo Fu
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