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Saurabh Jadhav

dblp:203/5210 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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 · 67% Robot navigation and mapping · 33%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.312017
3D printed soft actuators for a legged robot capable of navigating unstructured terrain · ICRA 2017
Robotics › Robot navigation and mapping › mobile robot navigation › terrain-aware navigation
rough terrain navigation
0.312017
3D printed soft actuators for a legged robot capable of navigating unstructured terrain · ICRA 2017
Robotics › Legged, aerial and field robots › robot locomotion
soft robot locomotion
0.312017
3D printed soft actuators for a legged robot capable of navigating unstructured terrain · ICRA 2017
Computational fabrication
additive manufacturing
0.112017
3D printed soft actuators for a legged robot capable of navigating unstructured terrain · ICRA 2017

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

finite element analysis · 0.63d printing · 0.6
YearPublicationVenuePosition
2017 3D printed soft actuators for a legged robot capable of navigating unstructured terrain
abstract
Soft robots have recently demonstrated impressive abilities to adapt to objects and their environment with limited sensing and actuation. However, mobile soft robots are typically fabricated using laborious molding processes that result in limited actuated degrees of freedom and hence limited locomotion capabilities. In this paper, we present a 3D printed robot with bellowed soft legs capable of rotation about two axes. This allows our robot to navigate rough terrain that previously posed a significant challenge to soft robots. We present models and FEM simulations for the soft leg modules and predict the robot locomotion capabilities. We use finite element analysis to simulate the actuation characteristics of these modules. We then compared the analytical and computational results to experimental results with a tethered prototype. The experimental soft robot is capable of lifting its legs 5.3 cm off the ground and is able to walk at speeds up to 20 mm/s (0.13 bl/s). This work represents a practical approach to the design and fabrication of functional mobile soft robots.
Dylan Drotman, Saurabh Jadhav, Mahmood Karimi, Philip deZonia, Michael Thomas Tolley
ICRA2
2017 Differential pressure control of 3D printed soft fluidic actuators
abstract
Fluidically actuated soft robots show a great promise for operation in sensitive and unknown environments due to their intrinsic compliance. However, most previous designs use either flow control systems that are noisy, inefficient, sensitive to leaks, and cannot achieve differential pressure (i.e. can only apply either positive or negative pressures with respect to atmospheric), or closed volume control systems that are not adaptable and prohibitively expensive. In this paper, we present a modular, low cost volume control system for differential pressure control of soft actuators. We use this system to actuate three-chamber 3D printed soft robotic modules. For this design, we find a 54% increase in achievable blocked force, and a significant increase in actuator workspace when using differential pressure actuation as compared to the use of only pressure or vacuum. The increased workspace allowed the robot to achieve complex tasks such as writing on a screen with a laser pointer or manipulating fragile objects. Furthermore, we demonstrate a self-healing capability of the combined system by using vacuum to actuate ruptured modules which were no longer responsive to positive pressure.
Tom Kalisky, Benjamin Shih, Dylan Drotman, Saurabh Jadhav, Eliah Aronoff Spencer, Michael Thomas Tolley
IROS5