Develops a game-theoretic estimator for true information gain in active perception that achieves sub-linear regret and shows average gains of 7% information gain and 42% error reduction across simulated and real robot experiments.
A frontier-based approach for autonomous exploration,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An Active Perception Game for Robust Exploration
Develops a game-theoretic estimator for true information gain in active perception that achieves sub-linear regret and shows average gains of 7% information gain and 42% error reduction across simulated and real robot experiments.