211 citations · 482 across the 17 of their papers we have counts for
19 papers
Interdisciplinary Workshop on Mechanical Intelligence: Summary Report
Victoria A. Webster-Wood, Nicholas Gravish, Amir Alavi +37
This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon tha…
Parallel Simulation of Contact and Actuation for Soft Growing Robots
Yitian Gao, Lucas Chen, Priyanka Bhovad +3
Soft growing robots, commonly referred to as vine robots, have demonstrated remarkable ability to interact safely and robustly with unstructured and dynamic environments. It is the…
Transport and Delivery of Objects with a Soft Everting Robot
Ethan DeVries, Jack Ferlazzo, Mustafa Ugur +1
Soft everting robots present significant advantages over traditional rigid robots, including enhanced dexterity, improved environmental interaction, and safe navigation in unpredic…
Linking Exteroception and Proprioception through Improved Contact Modeling for Soft Growing Robots
Francesco Fuentes, Serigne Diagne, Zachary Kingston +1
Passive deformation due to compliance is a commonly used benefit of soft robots, providing opportunities to achieve robust actuation with few active degrees of freedom. Soft growin…
A Modular Haptic Display with Reconfigurable Signals for Personalized Information Transfer
Antonio Alvarez Valdivia, Benjamin A. Christie, Dylan P. Losey +1
We present a customizable soft haptic system that integrates modular hardware with an information-theoretic algorithm to personalize feedback for different users and tasks. Our pla…
Physics-Grounded Differentiable Simulation for Soft Growing Robots
Lucas Chen, Yitian Gao, Sicheng Wang +3
Soft-growing robots (i.e., vine robots) are a promising class of soft robots that allow for navigation and growth in tightly confined environments. However, these robots remain cha…
Anisotropic Stiffness and Programmable Actuation for Soft Robots Enabled by an Inflated Rotational Joint
Sicheng Wang, Eugenio Frias-Miranda, Antonio Alvarez Valdivia +1
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…
A Wearable Resistance Devices Motor Learning Effects in Exercise
Eugenio Frias-Miranda, Hong-Anh Nguyen, Jeremy Hampton +5
The integration of technology into exercise regimens has emerged as a strategy to enhance normal human capabilities and return human motor function after injury or illness by enhan…
A Review of Communicating Robot Learning during Human-Robot Interaction
Soheil Habibian, Antonio Alvarez Valdivia, Laura H. Blumenschein +1
For robots to seamlessly interact with humans, we first need to make sure that humans and robots understand one another. Diverse algorithms have been developed to enable robots to…
The Folded Pneumatic Artificial Muscle (foldPAM): Towards Programmability and Control via End Geometry
Sicheng Wang, Eugenio Frias Miranda, Laura H. Blumenschein
Soft pneumatic actuators have seen applications in many soft robotic systems, and their pressure-driven nature presents unique challenges and opportunities for controlling their mo…
Wrapping Haptic Displays Around Robot Arms to Communicate Learning
Antonio Alvarez Valdivia, Soheil Habibian, Carly A. Mendenhall +4
Humans can leverage physical interaction to teach robot arms. As the human kinesthetically guides the robot through demonstrations, the robot learns the desired task. While prior w…
Wrapped Haptic Display for Communicating Physical Robot Learning
Antonio Alvarez Valdivia, Ritish Shailly, Naman Seth +3
Physical interaction between humans and robots can help robots learn to perform complex tasks. The robot arm gains information by observing how the human kinesthetically guides it…
Shared-Control Teleoperation Paradigms on a Soft Growing Robot Manipulator
Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese +4
Semi-autonomous telerobotic systems allow both humans and robots to exploit their strengths, while enabling personalized execution of a task. However, for new soft robots with degr…
Geometric Solutions for General Actuator Routing on Inflated-Beam Soft Growing Robots
Laura H Blumenschein, Margaret Koehler, Nathan S. Usevitch +3
Continuum and soft robots can leverage complex actuator shapes to take on useful shapes while actuating only a few of their many degrees of freedom. Continuum robots that also grow…
A Tip Mount for Transporting Sensors and Tools using Soft Growing Robots
Sang-Goo Jeong, Margaret M. Coad, Laura H. Blumenschein +5
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…
Human Interface for Teleoperated Object Manipulation with a Soft Growing Robot
Fabio Stroppa, Ming Luo, Kyle Yoshida +3
Soft growing robots are proposed for use in applications such as complex manipulation tasks or navigation in disaster scenarios. Safe interaction and ease of production promote the…
Retraction of Soft Growing Robots without Buckling
Margaret M. Coad, Rachel P. Thomasson, Laura H. Blumenschein +3
Tip-extending soft robots that "grow" via pneumatic eversion of their body material have demonstrated applications in exploration of cluttered environments. During growth, the moti…
Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
Joseph D. Greer, Laura H. Blumenschein, Ron Alterovitz +2
Navigation and motion control of a robot to a destination are tasks that have historically been performed with the assumption that contact with the environment is harmful. This mak…
Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration
Margaret M. Coad, Laura H. Blumenschein, Sadie Cutler +7
A new class of continuum robots has recently been explored, characterized by tip extension, significant length change, and directional control. Here, we call this class of robots "…