Demo Data from VLDB 2026 / reviewers in the wild / expert
S. Jorgensen
dblp:151/9419
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 |
Legged, aerial and field robots · 44% Robot manipulation · 44% Robot navigation and mapping · 13% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 50% Human-robot interaction · 50% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
humanoid robot |
0.2 | 1 | 2014 | A summary of team MIT's approach to the virtual robotics challenge · ICRA 2014 |
Robotics › Robot manipulation › mobile manipulation
whole-body manipulation |
0.2 | 1 | 2014 | A summary of team MIT's approach to the virtual robotics challenge · ICRA 2014 |
Human-robot interaction › human-robot interface
operator interface |
0.1 | 1 | 2014 | A summary of team MIT's approach to the virtual robotics challenge · ICRA 2014 |
User interface design and tools
user interface design |
0.1 | 1 | 2014 | A summary of team MIT's approach to the virtual robotics challenge · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
point cloud fusion · 0.43d rendering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | A summary of team MIT's approach to the virtual robotics challengeabstractThe paper describes the system developed by researchers from MIT for the Defense Advanced Research Projects Agency's (DARPA) Virtual Robotics Challenge (VRC), held in June 2013. The VRC was the first competition in the DARPA Robotics Challenge (DRC), a program that aims to “develop ground robotic capabilities to execute complex tasks in dangerous, degraded, human-engineered environments”. The VRC required teams to guide a model of Boston Dynamics' humanoid robot, Atlas, through driving, walking, and manipulation tasks in simulation. Team MIT's user interface, the Viewer, provided the operator with a unified representation of all available information. A 3D rendering of the robot depicted its most recently estimated body state with respect to the surrounding environment, represented by point clouds and texture-mapped meshes as sensed by on-board LIDAR and fused over time. Russ Tedrake, Maurice Fallon, Sisir Karumanchi, Scott Kuindersma, Matthew E. Antone, Toby Schneider, Thomas M. Howard, Matthew R. Walter, Hongkai Dai, Robin Deits, Michael Fleder, Dehann Fourie, Riad I. Hammoud, Sachithra Hemachandra, P. Ilardi, Claudia Pérez-D'Arpino, Sudeep Pillai, Andres Valenzuela, Cecilia Cantu, C. Dolan, I. Evans, S. Jorgensen, J. Kristeller, Julie A. Shah, Karl Iagnemma, Seth J. Teller |
ICRA | 22 |