A survey on deep learning for localization and map**: Towards the age of spatial machine intelligence
Scene memory transformer for embodied agents in long-horizon tasks
Many robotic applications require the agent to perform long-horizon tasks in partially
observable environments. In such applications, decision making at any step can depend on …
observable environments. In such applications, decision making at any step can depend on …
Automatic differentiation of programs with discrete randomness
Automatic differentiation (AD), a technique for constructing new programs which compute
the derivative of an original program, has become ubiquitous throughout scientific …
the derivative of an original program, has become ubiquitous throughout scientific …
Differentiable particle filtering via entropy-regularized optimal transport
Particle Filtering (PF) methods are an established class of procedures for performing
inference in non-linear state-space models. Resampling is a key ingredient of PF necessary …
inference in non-linear state-space models. Resampling is a key ingredient of PF necessary …
Glas: Global-to-local safe autonomy synthesis for multi-robot motion planning with end-to-end learning
We present GLAS: Global-to-Local Autonomy Synthesis, a provably-safe, automated
distributed policy generation for multi-robot motion planning. Our approach combines the …
distributed policy generation for multi-robot motion planning. Our approach combines the …