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Shantonu Biswas

dblp:179/4429 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0001-6335-8729ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 61% Haptics and multimodal interaction · 30% Personal fabrication and tangible interfaces · 9%
Artificial intelligence
1 paper
Robot manipulation · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.612022
Soft, Wearable Robotics and Haptics: Technologies, Trends, and Emerging Applications · Proc. IEEE 2022
Human-robot interaction › wearable robot
soft wearable robot
0.612022
Soft, Wearable Robotics and Haptics: Technologies, Trends, and Emerging Applications · Proc. IEEE 2022
Haptics and multimodal interaction
wearable haptic device
0.612022
Soft, Wearable Robotics and Haptics: Technologies, Trends, and Emerging Applications · Proc. IEEE 2022
Robotics › Robot manipulation
bio-inspired adhesion
0.512021
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction · IEEE Trans. Robotics 2021
Robotics › Robot manipulation
grasping
0.512021
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction · IEEE Trans. Robotics 2021
Robotics › Robot manipulation › grasping
soft gripper
0.512021
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction · IEEE Trans. Robotics 2021
Computational fabrication › soft robotics
soft robotics fabrication
0.112021
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction · IEEE Trans. Robotics 2021

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

fluidic actuation · 1.0analytical modeling · 1.0wearable sensing · 0.6soft actuation · 0.6
YearPublicationVenuePosition
2022 Soft, Wearable Robotics and Haptics: Technologies, Trends, and Emerging Applications
abstract
Recent advances in the rapidly growing field of soft robotics highlight the potential for innovations in wearable soft robotics to meet challenges and opportunities affecting individuals, society, and the economy. Some of the most promising application areas include wearable haptic interfaces, assistive robotics, and biomedical devices. Several attributes of soft robotic systems make them well-suited for use in human-wearable applications. Such systems can be designed to accommodate the complex morphology and movements of the human body, can afford sufficient compliance to ensure safe operation in intimate proximity with humans, and can provide context-appropriate haptic feedback or assistance to their wearers. Many soft robotic systems have been designed to resemble garments or wearables that are already widely used today. Such systems could one day become seamlessly integrated into a myriad of human activities and environments. Here, we review emerging advances in wearable soft robotic technologies and systems, including numerous examples from prior research. We discuss important considerations for the design of such systems based on functional concerns, wearability, and ergonomics. We describe an array of design strategies that have been adopted in prior research. We review wearable soft robotics applications in diverse domains, survey sensing and actuation technologies, materials, and fabrication methods. We conclude by discussing frontiers, challenges, and future prospects for soft, wearable robotics.
Mengjia Zhu, Shantonu Biswas, Stejara Iulia Dinulescu, Nikolas Kastor, Elliot Wright Hawkes, Yon Visell
Proc. IEEE2
2021 A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction
abstract
A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requires careful selection of hand orientation and finger placement. Here, we present a fingerless soft gripper capable of efficiently generating multiple grasping modes. It is based on a soft, cylindrical accordion structure containing coupled, parallel fluidic channels, which are controlled via pressure supplied from a single fluidic port. Inflation opens the gripper orifice for enveloping an object, while deflation allows it to produce grasping forces. The interior is patterned with a gecko-like skin that increases friction, enabling the gripper to lift objects weighing up to 20 N. Our design ensures that fragile objects, such as eggs, can be safely handled, by virtue of a wall buckling mechanism. In reverse, the gripper can be deflated to reach into an opening or orifice then inflated to grasp objects with handles or cavities. The gripper may also integrate a lip that enables it to form a seal and, upon inflating, to generate suction for lifting objects with flat surfaces. In this article, we describe the design and fabrication of this device and present an analytical model of its behavior when operated from a single fluidic port. In experiments, we demonstrate its ability to grasp diverse objects, and show that its performance is well described by our model. Our findings show how a fingerless soft gripper can efficiently perform a variety of grasping operations. Such devices could improve the ability of robotic systems to meet applications in areas of great economic and societal importance.
Yufei Hao, Shantonu Biswas, Elliot Wright Hawkes, Tianmiao Wang, Mengjia Zhu, Yon Visell
IEEE Trans. Robotics2