Demo Data from EDBT 2026 / reviewers in the wild / expert
Crystal E. Winston
dblp:383/4656
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0001-5330-9157ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
1 paper |
Legged, aerial and field robots · 61% Robot manipulation · 30% Motion planning and robot control · 9% | |
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › haptic feedback
force feedback |
0.9 | 1 | 2025 | Fourigami: A 4-Degree-of-Freedom, Force-Controlled, Origami, Finger Pad Haptic Device · IEEE Trans. Robotics 2025 |
Haptics and multimodal interaction
haptic interface |
0.9 | 1 | 2025 | Fourigami: A 4-Degree-of-Freedom, Force-Controlled, Origami, Finger Pad Haptic Device · IEEE Trans. Robotics 2025 |
Robotics › Legged, aerial and field robots
field robotics |
0.6 | 1 | 2022 | ReachBot: A Small Robot with Exceptional Reach for Rough Terrain · ICRA 2022 |
Robotics › Robot manipulation
grasping |
0.6 | 1 | 2022 | ReachBot: A Small Robot with Exceptional Reach for Rough Terrain · ICRA 2022 |
Robotics › Legged, aerial and field robots › field robotics
planetary exploration robot |
0.6 | 1 | 2022 | ReachBot: A Small Robot with Exceptional Reach for Rough Terrain · ICRA 2022 |
Virtual and augmented reality › haptics
haptic feedback in VR |
0.3 | 1 | 2025 | Fourigami: A 4-Degree-of-Freedom, Force-Controlled, Origami, Finger Pad Haptic Device · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2022 | ReachBot: A Small Robot with Exceptional Reach for Rough Terrain · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
pneumatic actuation · 1.7origami manufacturing · 1.7force/torque sensing · 1.7impact-triggered passive gripper · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Fourigami: A 4-Degree-of-Freedom, Force-Controlled, Origami, Finger Pad Haptic DeviceabstractSkin deformation haptic devices worn on the finger pad provide realistic touch feedback during interactions with virtual objects. Two primary challenges in creating such devices are: first, making a multidegree-of-freedom device (DoF) that is small and lightweight so it does not encumber the wearer and second, providing accurate control of forces displayed to the finger pad. This work presents a 4-DoF finger pad haptic device, called Fourigami, that addresses these challenges. We address the first challenge using origami manufacturing methods and pneumatic actuation to fabricate a 25 g prototype that displays normal, shear, and twist and can be easily worn on the finger pad. We address the second challenge using a low-profile, 6-DoF, force/torque sensor to control forces displayed to the finger. Fourigami has a bandwidth ranging from 2 to 4 Hz depending on direction, and when acting on a human finger, it exerts forces ranging from$\pm$1.0 N in shear, 4.2 N in normal, and$\pm$4.2 N$\cdot$mm of twist. Finally, we demonstrate the device’s efficacy when rendering haptic feedback to a user tracking a sinusoidal trajectory and a trajectory representing interactions with a virtual object. Crystal E. Winston, Hojung Choi, Rianna M. Jitosho, Zhenishbek Zhakypov, Jasmin E. Palmer, Mark R. Cutkosky, Allison M. Okamura |
IEEE Trans. Robotics | 1 |
| 2024 | OriTrack: A Small, 3 Degree-of-Freedom, Origami Solar TrackerabstractIn response to the need for sustainable energy solutions, solar panels have gained significant traction. One way to increase the energy capture of solar systems is through solar tracking, a means of reorienting solar panels throughout the day in order to face the sun. The energy consumption increase that comes with solar tracking often far outweighs the amount of energy required to move the panel, which makes it a compelling strategy for improving solar systems. Unfortunately, while solar trackers are commonly used in large solar farms, they are rarely used on rooftops, an area where solar panels are commonly installed. This is for two primary reasons: (1) most commercially available solar trackers are too large to be installed on roofs and (2) even if traditional solar trackers were made in a more compact form-factor it would be difficult to densely lay them out on a roof without the trackers substantially shading each other. In order to address these issues, we introduce OriTrack, a small three-degree-of-freedom (3 DOF) solar tracker which reduces the area of its shadow by reducing its height as it tracks the sun. In this paper we discuss the design, manufacturing, and control of OriTrack. We then compare OriTrack to a flat reference panel, the solar energy solution commonly used on roofs today, and find that OriTrack demonstrates 23% increased energy production. This result suggests OriTrack could be used as a future solution for solar tracking on rooftops. Crystal E. Winston, Leo F. Casey |
ICRA | 1 |
| 2022 | ReachBot: A Small Robot with Exceptional Reach for Rough TerrainabstractReachBot is a new concept for planetary exploration, consisting of a small body and long, lightweight extending arms loaded primarily in tension. The arms are equipped with spined grippers for anchoring on rock surfaces. The design and testing of a planar prototype is presented here. Experiments with rock grasping and coordinated locomotion illustrate the advantages of low inertia passive grippers, triggered by impact and using stored mechanical energy for the internal force. Gripper design involves a trade-off among the range of possible grasp angles, maximum grasp force, required triggering force, and required reset force. The current prototype can pull with up to 8N when gripping volcanic rock, limited only by the strength of the 3D printed components. Calculations predict a maximum pull of 26N for the same spines and stronger materials. Tony G. Chen, Becky Miller, Crystal E. Winston, Stephanie Schneider, Andrew Bylard, Marco Pavone 0001, Mark R. Cutkosky |
ICRA | 3 |