User interfaces for interactive control of physics-based 3D characters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We present two user interfaces for the interactive control of dynamically-simulated characters. The first interface uses an 'action palette' and targets sports prototyping applications. When used online, the user selects from a palette of actions (e.g., stand, pike, extend) during an ongoing simulation. Actions are defined in terms of a set of target joint angles for PD controllers or as feedback-based balance controllers. When used offline, the timing of the key motion events can be adjusted manually or optimized automatically to produce desired outcomes. We demonstrate the action palette interface with simulations of platform diving, freestyle aerial ski jumps, and half-pipe snowboarding. The second interface explores the feasibility of using a game-pad to control a 13-link rigid body simulation of snowboarding for game applications. Unlike traditional video game play, the stunts accessible through our interface need not be preconceived by the game author and can emerge as the product of the physics, the terrain, and the player skill. We describe the control mapping and provide a mechanism to simplify balance control. We demonstrate the system using numerous snowboarding stunts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it