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Samuel M. Felton

dblp:123/6516 · DBLP profile ↗
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11ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0002-0545-9617ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 10 · 2 first-authorSystems, architecture and hardware · 10 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Robot manipulation · 91% Legged, aerial and field robots · 9%
Computer graphics and multimedia
4 papers
Computational fabrication · 100%

Topics — the 12 heaviest of 15, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
1.022022
Shake and Take: Fast Transformation of an Origami Gripper · IEEE Trans. Robotics 2022
Mechanically Programmed Miniature Origami Grippers · ICRA 2020
Robotics › Robot manipulation › grasping
gripper design
0.412020
Mechanically Programmed Miniature Origami Grippers · ICRA 2020
Robotics › Robot manipulation
continuously variable transmission
0.212014
A passive, origami-inspired, continuously variable transmission · ICRA 2014
Robotics › Robot manipulation › robot design
robot mechanism design
0.212014
A passive, origami-inspired, continuously variable transmission · ICRA 2014
Computational fabrication
origami-inspired design
0.212014
A passive, origami-inspired, continuously variable transmission · ICRA 2014
Computational fabrication
self-folding machine
0.212014
Self-assembling sensors for printable machines · ICRA 2014
Robotics › Robot manipulation › robot manipulator
robot arm
0.212022
Shake and Take: Fast Transformation of an Origami Gripper · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots › limbless locomotion
inchworm robot locomotion
0.212013
Robot self-assembly by folding: A printed inchworm robot · ICRA 2013
Robotics › Robot manipulation
mobile manipulation
0.212013
Robot self-assembly by folding: A printed inchworm robot · ICRA 2013
Computational fabrication › origami design
origami mechanism
0.112020
Mechanically Programmed Miniature Origami Grippers · ICRA 2020
Robotics › Legged, aerial and field robots
robot locomotion
0.112014
A passive, origami-inspired, continuously variable transmission · ICRA 2014
Robotics › Legged, aerial and field robots › mobile robot locomotion
wheeled locomotion
0.112014
A passive, origami-inspired, continuously variable transmission · ICRA 2014

Methods — techniques the papers use, named apart from their topics

origami string · 0.9crease pattern design · 0.9vertex characterization · 0.6shape memory polymer · 0.4passive transmission · 0.4origami-inspired manufacturing · 0.4origami design · 0.4printed electronics · 0.3joule heating · 0.3
YearPublicationVenuePosition
2022 Shake and Take: Fast Transformation of an Origami Gripper
abstract
Origami structures can transform their form and function by changing the direction of their folds. This reconfiguration can enable multifunctional robots, but doing so requires a fast, robust, and repeatable actuation method. In this article, we present an origami gripper that uses dynamic transformation to change its kinematic behavior in less than a second. We characterize individual vertices to show that the transformation is predictable and repeatable for different designs and orientations. We then apply it to a multivertex template that is capable of a wide range of shapes and motion patterns, indicating that transformation can be generalized to complex and functional machines. To demonstrate this, we built a transforming origami gripper on a robotic arm to pick up multiple objects. Demonstrations show that the gripper can quickly reconfigure between three different grasping modes and has sufficient stiffness to engage with and lift multiple objects with distinct geometries.
Chang Liu 0022, Samuel J. Wohlever, Maria B. Ou, Taskin Padir, Samuel M. Felton
IEEE Trans. Robotics5
2020 Mechanically Programmed Miniature Origami Grippers
abstract
This paper presents a robotic gripper design that can perform customizable grasping tasks at the millimeter scale. The design is based on the origami string, a mechanism with a single degree of freedom that can be mechanically programmed to approximate arbitrary paths in space. By using this concept, we create miniature fingers that bend at multiple joints with a single actuator input. The shape and stiffness of these fingers can be varied to fit different grasping tasks by changing the crease pattern of the string. We show that the experimental behavior of these strings follows their analytical models and that they can perform a variety of tasks including pinching, wrapping, and twisting common objects such as pencils, bottle caps, and blueberries.
Alec Orlofsky, Chang Liu 0022, Soroush Kamrava, Ashkan Vaziri, Samuel M. Felton
ICRA5
2017 A self-folding robot arm for load-bearing operations
abstract
Self-folding is capable of forming complex three-dimensional structures from planar sheets. However, existing self-folding machines cannot generate large forces or bear high loads. In contrast, traditional robots are expected to operate under large loads but these robots are generally dense, resulting in heavy machines with relatively low strength-to-weight ratios. In this paper, we present a new self-folding technique that is meter-scale and load-bearing. We demonstrate the design and fabrication of both structural beams and pneumatically actuated joints. We model and measure the stiffness and strength of self-folded structural beams. Finally, we integrate these results into a robotic arm that weighs 0.3 kg and can lift up to 1.0 kg. These results indicate that functional, load-bearing, self-folding robots are possible.
Chang Liu 0022, Samuel M. Felton
IROS2
2016 Feedback-controlled self-folding of autonomous robot collectives
abstract
Self-folding provides an efficient way of creating complex 3D geometries from 2D composites. However, the precision of self-folding structures is often limited by the use of open-loop folding mechanisms. In this paper we demonstrate feedback-controlled self-folding using a shape memory polymer and optical sensors to accurately control folding angles. We present a method of quickly and inexpensively fabricating large collectives of self-folding autonomous robots that can be transported in flat configurations prior to autonomous deployment at target destinations. To demonstrate this, we build a collective of robots that is manufactured in one continuous laminar composite. Individual robots in the collective detach from one other, self-fold into pre-programmed configurations and navigate by phototaxis. This method could be applied to a broad range of applications where logistics necessitate compact transport and where external manipulation is difficult or expensive, such as in space applications or delivering search-and-rescue robots in cluttered environments.
Martin E. W. Nisser, Samuel M. Felton, Michael Thomas Tolley, Michael Rubenstein, Robert J. Wood
IROS2
2015 Self-folding and self-actuating robots: A pneumatic approach
abstract
Self-assembling robots can be transported and deployed inexpensively and autonomously in remote and dangerous environments. In this paper, we introduce a novel self-assembling method with a planar pneumatic system. Inflation of pouches translate into shape changes, turning a sheet of composite material into a complex robotic structure. This new method enables a flat origami-based robotic structure to self-fold to desired angles with pressure control. It allows a static joint to become dynamic, self-actuate to reconfigure itself after initial folding. Finally, the folded robot can unfold itself at the end of a robotic application. We believe this new pneumatic approach provides an important toolkit to build more powerful and capable self-assembling robots.
Samuel M. Felton, Ryuma Niiyama, Robert J. Wood, Sangbae Kim
ICRA2
2015 Printing angle sensors for foldable robots
abstract
Self-folding is a promising technique for assembling robots from flat sheets. However, existing implementations do not include reliable methods for sensing the folding angle, making feedback control impossible. In this paper, we present novel angle sensors for foldable robots and machines. They are inkjet printed and fully integrated into robots' laminate. This additional sensor layer tracks the angle motion of robot hinges, to better guide robot assembling by folding and to perform more complicated tasks that requires feedback control, making folded robots more capable in real world applications. We introduce the fabrication process, property assessments, and demonstrate sensor performance by measuring folding angles of a cube and controlling folds on a gripper.
Samuel M. Felton, Robert J. Wood, Sangbae Kim
IROS2
2014 A passive, origami-inspired, continuously variable transmission
abstract
Transmissions play a vital role in machines by transforming the torque and speed of a motor into a desired output. They are often necessary for operating a motor at peak efficiency or power. The majority of variable transmissions are mechanically complex, large, and expensive, which limits scalability and is often cost prohibitive. As an alternative, we propose an origami-wheel design that is capable of varying its own transmission ratio between motor torque and ground reaction force, effectively creating a passive, continuously variable transmission. The wheel responds to an increase in torque by reducing its radius through the spring-like properties of the origami structure, increasing the force applied by the wheel to the ground. We demonstrate that the wheel is able to match the speed of a 55 mm fixed-radius wheel when unloaded, and can also tow loads as high as a 25 mm wheel without stalling. This design could be used to provide smaller, cheaper robots with an effective means to vary their output while maintaining motor efficiency.
Samuel M. Felton, Dae-Young Lee 0001, Kyu-Jin Cho, Robert J. Wood
ICRA1
2014 Self-assembling sensors for printable machines
abstract
Self-assembled structures and machines can be made using origami-inspired manufacturing methods. In particular, self-folding of two-dimensional materials using shape memory polymers and embedded electrical circuits has been utilized to build robots and structures in an inexpensive and rapid manner. In order to build increasingly complex and functional self-folding machines, however, methods for interaction with the environment are necessary. This paper presents and characterizes three types of self-folding sensors: a mechanical switch, a capacitive contact sensor, and a velocity sensor. We utilize specialized fold patterns to create cyclic mechanical linkages as well as additional composite layers such as magnetic sheets to build these sensors. We demonstrate the integration of two of these sensors, the switch and the contact sensor, into a lamp that can self-fold and immediately begin responding to its surroundings.
ByungHyun Shin, Samuel M. Felton, Michael Thomas Tolley, Robert J. Wood
ICRA2
2013 Robot self-assembly by folding: A printed inchworm robot
abstract
Printing and folding are fast and inexpensive methods for prototyping complex machines. Self-assembly of the folding step would expand the possibilities of this method to include applications where external manipulation is costly, such as micro-assembly, mass production, and space applications. This paper presents a method for self-folding of printed robots from two-dimensional materials based on shape memory polymers actuated by joule heating using embedded circuits. This method was shown to be capable of sequential folding, angle-controlled folds, slot-and-tab assembly, and mountain and valley folds. An inchworm robot was designed to demonstrate the merits of this technique. Upon the application of sufficient current, the robot was able to fold into its functional form with fold angle deviations within six degrees. This printed robot demonstrated locomotion at a speed of two millimeters per second.
Samuel M. Felton, Michael Thomas Tolley, Cagdas D. Onal, Daniela Rus, Robert J. Wood
ICRA1
2013 Self-folding shape memory laminates for automated fabrication
abstract
Nature regularly uses self-folding as an efficient approach to automated fabrication. In engineered systems, however, the use of self-folding has been primarily restricted to the assembly of small structures using exotic materials and/or complex infrastructures. In this paper we present three approaches to the self-folding of structures using low-cost, rapid-prototyped shape memory laminates. These structures require minimal deployment infrastructure, and are activated by light, heat, or electricity. We compare the fabrication of a fundamental structure (a cube) using each approach, and test ways to control fold angles in each case. Finally, for each self-folding approach we present a unique structure that the approach is particularly suited to fold, and discuss the advantages and disadvantages of each approach.
Michael Thomas Tolley, Samuel M. Felton, Shuhei Miyashita, Lily Xu, ByungHyun Shin, Monica Zhou, Daniela Rus, Robert J. Wood
IROS2
2012 Design, fabrication, and modeling of the split actuator microrobotic bee
abstract
The split actuator microrobotic bee is the first flight-capable, insect-scale flapping-wing micro air vehicle that uses “split-cycle” constant-period frequency modulation to control body forces and torques. Building this vehicle is an intricate challenge, but by leveraging a maturing fabrication technology for microscale devices, we have developed a solution to tackle the design and fabrication difficulties. We show that the design is able to independently modulate the motions of both wings and produce roll, pitch, and yaw torques, as well as a peak lift force of 1.3 mN, in a 70mg package.
Kevin Y. Ma, Samuel M. Felton, Robert J. Wood
IROS2