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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…

Robotics · Computer Science 2026-04-24 I-Chia Chang , Xinyan Huang , Tzu-Yuan Lin , Sangli Teng , Wenjing Li , Maani Ghaffari , Jingang Yi , Yan Gu

This systems paper presents the implementation and design of RB5, a wheeled robot for autonomous long-term exploration with fewer and cheaper sensors. Requiring just an RGB-D camera and low-power computing hardware, the system consists of…

Robotic mobility in microgravity is necessary to expand human utilization and exploration of outer space. Bio-inspired multi-legged robots are a possible solution for safe and precise locomotion. However, a dynamic motion of a robot in…

Robotics · Computer Science 2023-01-20 Warley F. R. Ribeiro , Kentaro Uno , Masazumi Imai , Koki Murase , Kazuya Yoshida

Soft robotics has emerged as the standard solution for grasping deformable objects, and has proven invaluable for mobile robotic exploration in extreme environments. However, despite this growth, there are no widely adopted computational…

Robotics · Computer Science 2024-07-11 Yue Xie , Josh Pinskier , Lois Liow , David Howard , Fumiya Iida

In this paper, we propose a single-actuator gripper that can lift thin objects lying on a flat surface, in addition to the ability as a standard parallel gripper. The key is a crawler on the fingertip, which is underactuated together with…

Robotics · Computer Science 2020-08-14 Tianyi Ko

We present a method for image-guided exploration for mobile robotic systems. Our approach extends ergodic exploration methods, a recent exploration approach that prioritizes complete coverage of a space, with the use of a learned image…

Robotics · Computer Science 2023-08-01 Elena Wittemyer , Ian Abraham

Collapsing terrains, often present in search and rescue missions or planetary exploration, pose significant challenges for quadruped robots. This paper introduces a robust locomotion framework for safe navigation over unstable surfaces by…

Soft robots are inherently compliant and have a strong potential to realize human-friendly and safe robots. Despite continued research highlighting the potential of soft robots, they remain largely confined to laboratory settings. In this…

Robotics · Computer Science 2022-02-15 Dimuthu D. K. Arachchige , Isuru S. Godage

Under-actuated robot grippers as a pervasive tool of robots have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making…

Robotics · Computer Science 2024-03-20 Jihao Li , Tingbo Liao , Hassen Nigatu , Haotian Guo , Guodong Lu , Huixu Dong

To achieve a successful grasp, gripper attributes such as its geometry and kinematics play a role as important as the object geometry. The majority of previous work has focused on developing grasp methods that generalize over novel object…

In this project, we focus on human-robot interaction in caregiving scenarios like bathing, where physical contact is inevitable and necessary for proper task execution because force must be applied to the skin. Using finite element…

Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This limits the speed during grasping and prevents "dynamic…

Robotics · Computer Science 2021-10-04 Joshua Fishman , Samuel Ubellacker , Nathan Hughes , Luca Carlone

Grasp force estimation can help prevent robots from damaging delicate objects during manipulation and improve learning-based robotic control. Integrating force sensing into deformable grippers negotiates trade-offs in cost, complexity,…

Robotics · Computer Science 2026-05-04 Kaiwen Zuo , Shuyuan Yang , Zonghe Chua

The ability of robotic grippers to not only grasp but also re-position and re-orient objects in-hand is crucial for achieving versatile, general-purpose manipulation. While recent advances in soft robotic grasping has greatly improved grasp…

Grasping objects across vastly different sizes and physical states-including both solids and liquids-with a single robotic gripper remains a fundamental challenge in soft robotics. We present the Everything-Grasping (EG) Gripper, a soft…

For robot manipulation, both the controller and end-effector design are crucial. Soft grippers are generalizable by deforming to different geometries, but designing such a gripper and finding its grasp pose remains challenging. In this…

Robotics · Computer Science 2025-09-03 Sha Yi , Xueqian Bai , Adabhav Singh , Jianglong Ye , Michael T Tolley , Xiaolong Wang

Legged robots have the potential to traverse complex terrain and access confined spaces beyond the reach of traditional platforms thanks to their ability to carefully select footholds and flexibly adapt their body posture while walking.…

Robotics · Computer Science 2024-03-04 Takahiro Miki , Joonho Lee , Lorenz Wellhausen , Marco Hutter

Quadruped robots are proliferating in industrial environments where they carry sensor payloads and serve as autonomous inspection platforms. Despite the advantages of legged robots over their wheeled counterparts on rough and uneven…

Robotics · Computer Science 2025-07-23 Dylan Vogel , Robert Baines , Joseph Church , Julian Lotzer , Karl Werner , Marco Hutter

Tactile perception is an essential ability of intelligent robots in interaction with their surrounding environments. This perception as an intermediate level acts between sensation and action and has to be defined properly to generate…

Robotics · Computer Science 2019-07-24 Masoud Baghbahari , Aman Behal

Wheeled planetary rovers such as the Mars Exploration Rovers (MERs) and Mars Science Laboratory (MSL) have provided unprecedented, detailed images of the Mars surface. However, these rovers are large and are of high-cost as they need to…

Robotics · Computer Science 2017-02-10 Laksh Raura , Andrew Warren , Jekan Thangavelautham
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