Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

S. J. Dodds

dblp:81/3838 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › sliding mode control
chattering elimination		 0.011994
A New Sliding Mode Approach to the Robust Control of Robotic Manipulators with Dynamic Uncertainties · ICRA 1994
Robotics › Motion planning and robot control
robot control		 0.011994
A New Sliding Mode Approach to the Robust Control of Robotic Manipulators with Dynamic Uncertainties · ICRA 1994
Robotics › Motion planning and robot control › robot control
robust control		 0.011994
A New Sliding Mode Approach to the Robust Control of Robotic Manipulators with Dynamic Uncertainties · ICRA 1994
Robotics › Motion planning and robot control › robot control
sliding mode control		 0.011994
A New Sliding Mode Approach to the Robust Control of Robotic Manipulators with Dynamic Uncertainties · ICRA 1994

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

linear predictor · 0.0double integrator model · 0.0discretization · 0.0
YearPublicationVenuePosition
1994 A New Sliding Mode Approach to the Robust Control of Robotic Manipulators with Dynamic Uncertainties
abstract
A new sliding mode control law based on a linear predictor using a double integrator model for the control of robotic manipulators is presented. The new control law retains the simplicity and robustness of sliding mode controllers while the chattering problem commonly associated with this type of controller is completely eliminated. The control law is directly expressed in a discretized format for digital implementation. Simulations show that the new controller is chatterless, robust with respect to large parameter uncertainties and external disturbances, and simple for digital implementation.>
Jiabin Wang 0002, W. N. Bailey, S. J. Dodds
 ICRA3