Bidirectional sensing-action loops, built from generative sensing, Koopman-based control, neuromorphic processing, and multi-agent coordination, can markedly reduce energy and latency for edge autonomy, according to this synthesis of prior work.
Also: Auto- motive lidar self-supervision by occupancy estimation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges
Bidirectional sensing-action loops, built from generative sensing, Koopman-based control, neuromorphic processing, and multi-agent coordination, can markedly reduce energy and latency for edge autonomy, according to this synthesis of prior work.