By Topic:
By Type:
This work demonstrates a front-flip on bicycle robots via reinforcement learning, particularly by imitating reference motions that are infeasible and imperfect. To address this, we...
The Dubins Moving Target Traveling Salesman Problem with Obstacles (Dubins MT-TSP-O) seeks an obstacle-free trajectory for an agent with a fixed speed and minimum turning...
We examine the motivations behind building documentation tools, how authors conceptualize documentation practices, and how these tools connect to existing systems, regulations, and cultural norms.
In robotics, the concept of “dull, dirty, and dangerous” (DDD) work has been used to motivate where robots might be useful. In this paper, we...
We propose ROVER (Reasoning Over VidEo Recursively), a framework that enables the model to recursively decompose long horizon video trajectories into segments corresponding to shorter...
We present ParticleFormer, a Transformer-based point cloud world model trained with a hybrid point cloud reconstruction loss, supervising both global and local dynamics features in...
We introduce PIEGraph, a neural-augmented dynamics model capable of learning physically-grounded object dynamics for rigid and deformable bodies from few interactions.
Abstract: The ability to flexibly leverage limbs for loco-manipulation is essential for enabling autonomous robots to operate in unstructured environments. Yet, prior work on loco-manipulation...
Researchers present Diffuse-CLoC, a guided diffusion framework for physics-based look-ahead control that enables intuitive, steerable, and physically realistic motion generation.
We propose two improvements to Residual RL that further enhance its sample efficiency and make it suitable for stochastic base policies.
We introduce Judo, a software package designed to address this need. To facilitate rapid prototyping and evaluation, Judo provides robust implementations of common sampling-based MPC...
This work presents an overview of the technical details behind a high-performance reinforcement learning policy deployment with the Spot RL Researcher Development Kit for low-level...
