activity
20192026
most citedLearning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller

20 citations · 39 across the 15 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.RO2026

Modality-Autoregressive World-Action Models

Adam Hung, Bardienus P. Duisterhof, Deva Ramanan +1

World-action models (WAMs) jointly model future observations and actions, typically predicting the future as RGB images. Other visual modalities such as depth, pretrained visual fe…

cs.CV2026

Sparse auto-regressive modeling for scene generation from multi-view images

Thomas Lucas, Maxime Pietrantoni, Philippe Weinzaepfel +4

Generating complete 3D scenes from sparse, unconstrained views is a fundamental challenge in 3D vision which requires reasoning beyond observed content while remaining computationa…

cs.CV2026

Modality Forcing for Scalable Spatial Generation

Bardienus Pieter Duisterhof, Deva Ramanan, Jeffrey Ichnowski +2

Text-to-image (T2I) models contain rich spatial priors. Synthesizing photorealistic, cluttered scenes requires an understanding of geometry, including perspective and relative scal…

cs.RO2026

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation

Arthur Jakobsson, Abhinav Mahajan, Karthik Pullalarevu +6

Many robotic tasks are unforgiving; a single mistake in a dynamic throw can lead to unacceptable delays or unrecoverable failure. We introduce Wiggle and Go!, a two-stage framework…

cs.RO2026

3PoinTr: From Human Videos to Robot Policies with 3D Point-Track Plans

Adam Hung, Bardienus Pieter Duisterhof, Jeffrey Ichnowski

Human videos could reduce the reliance on expensive robot demonstrations, but extracting task-relevant features remains challenging. We introduce 3PoinTr, a method that provides ro…