Demo Data from SIGIR 2026 / reviewers in the wild / expert
Daniel J. Lambert
dblp:221/2355
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Robot manipulation · 56% Motion planning and robot control · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › wearable robotics › prosthetic device
prosthesis control |
0.3 | 1 | 2018 | Continuous-Phase Control of a Powered Knee-Ankle Prosthesis: Amputee Experiments Across Speeds and Inclines · IEEE Trans. Robotics 2018 |
Robotics › Motion planning and robot control
virtual constraints |
0.3 | 1 | 2018 | Continuous-Phase Control of a Powered Knee-Ankle Prosthesis: Amputee Experiments Across Speeds and Inclines · IEEE Trans. Robotics 2018 |
Methods — techniques the papers use, named apart from their topics
virtual constraints · 0.3user-synchronized phase variable · 0.3continuous-phase control · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Continuous-Phase Control of a Powered Knee-Ankle Prosthesis: Amputee Experiments Across Speeds and InclinesabstractControl systems for powered prosthetic legs typically divide the gait cycle into several periods with distinct controllers, resulting in dozens of control parameters that must be tuned across users and activities. To address this challenge, this paper presents a control approach that unifies the gait cycle of a powered knee-ankle prosthesis using a continuous, user-synchronized sense of phase. Virtual constraints characterize the desired periodic joint trajectories as functions of a phase variable across the entire stride. The phase variable is computed from residual thigh motion, giving the amputee control over the timing of the prosthetic joint patterns. This continuous sense of phase enabled three transfemoral amputee subjects to walk at speeds from 0.67 to 1.21 m/s and slopes from -2.5 to +9.0 deg. Virtual constraints based on task-specific kinematics facilitated normative adjustments in joint work across walking speeds. A fixed set of control gains generalized across these activities and users, which minimized the configuration time of the prosthesis. David Quintero, Dario J. Villarreal, Daniel J. Lambert, Susan Kapp, Robert D. Gregg IV |
IEEE Trans. Robotics | 3 |