An Intelligent Assistive Robotic Manipulator
Bibliographic record
Abstract
This paper presents the design of an automatic and intelligent robot arm for object grasping for people on wheelchair with mild to severe disabilities. The system is equipped with stereovision detection in order to distinguish different objects from the background. The robot arm has been designed with 6 degrees of action to grasp the detected object from the floor and bring it in front of the user. Two precalibrated digital cameras, facing downward, simultaneously take pictures of the surface where the object is located. Then by applying a new and robust 3D object detection method, the height, location and orientation of the object with respect to the robot's base point are found. The resulting rotation periods are transferred through a designated electronic driver board to the joints' motors via the PC parallel port. Overall, the system detects the object, moves the robot arm to the location of the object, grasps it, moves it to a predefined position in front of the user, releases the object and finally returns to its home position. The system is automatic and is operated by only one command.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".