We lifted 3 functions out of this paper's own repositories and ran 2 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| maithili/spatiotemporalobjecttracking | canonical | 2 of 3 |
| Function | Status | Where it lives |
|---|---|---|
| get_cooccurence_frequency | Ran | maithili/spatiotemporalobjecttracking/helpers/reader.py code served (permissive licence) · get_code("bdabe4e39ba6bd2f") |
| get_masks | Ran | maithili/spatiotemporalobjecttracking/GraphTranslatorModule.py code served (permissive licence) · get_code("7868dc6ee5b5c8b3") |
| get_spectral_components | Not yet run | maithili/spatiotemporalobjecttracking/helpers/reader.py code served (permissive licence) · get_code("6b8f157c99bc2b3f") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Proactive robot assistance enables a robot to anticipate and provide for a user's needs without being explicitly asked. We formulate proactive assistance as the problem of the robot anticipating temporal patterns of object movements associated with everyday user routines, and proactively assisting the user by placing objects to adapt the environment to their needs. We introduce a generative graph neural network to learn a unified spatio-temporal predictive model of object dynamics from temporal sequences of object arrangements. We additionally contribute the Household Object Movements from Everyday Routines (HOMER) dataset, which tracks household objects associated with human activities of daily living across 50+ days for five simulated households. Our model outperforms the leading baseline in predicting object movement, correctly predicting locations for 11.1% more objects and wrongly predicting locations for 11.5% fewer objects used by the human user.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2211.15501")
get_code_for_paper("2211.15501")
have("2211.15501")
Connect an agent — have() is free.