Language-driven physics-based scene synthesis and editing via feature splatting
RZ Qiu, G Yang, W Zeng, X Wang - European Conference on Computer …, 2025 - Springer
Scene representations using 3D Gaussian primitives have produced excellent results in
modeling the appearance of static and dynamic 3D scenes. Many graphics applications …
modeling the appearance of static and dynamic 3D scenes. Many graphics applications …
Sim-to-real transfer via 3d feature fields for vision-and-language navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location in
3D environments following the natural language instruction. In this field, the agent is usually …
3D environments following the natural language instruction. In this field, the agent is usually …
Graspsplats: Efficient manipulation with 3d feature splatting
The ability for robots to perform efficient and zero-shot grasping of object parts is crucial for
practical applications and is becoming prevalent with recent advances in Vision-Language …
practical applications and is becoming prevalent with recent advances in Vision-Language …
[PDF][PDF] Gendp: 3d semantic fields for category-level generalizable diffusion policy
• Generalizable Representation: Some existing semantic fields or representations are
trained on small-scale datasets and are challenging to transfer to novel scenes or object …
trained on small-scale datasets and are challenging to transfer to novel scenes or object …
Nl-slam for oc-vln: Natural language grounded slam for object-centric vln
Landmark-based navigation (eg go to the wooden desk) and relative positional navigation
(eg move 5 meters forward) are distinct navigation challenges solved very differently in …
(eg move 5 meters forward) are distinct navigation challenges solved very differently in …
Neural Fields in Robotics: A Survey
Neural Fields have emerged as a transformative approach for 3D scene representation in
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics
One common and desirable application of robots is exploring potentially hazardous and
unstructured environments. Air-ground collaboration offers a synergistic approach to …
unstructured environments. Air-ground collaboration offers a synergistic approach to …
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models
T Pulli, S Thalhammer, S Schwaiger… - arXiv preprint arXiv …, 2024 - arxiv.org
Robots are increasingly envisioned to interact in real-world scenarios, where they must
continuously adapt to new situations. To detect and grasp novel objects, zero-shot pose …
continuously adapt to new situations. To detect and grasp novel objects, zero-shot pose …
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
Exploiting the promise of recent advances in imitation learning for mobile manipulation will
require the collection of large numbers of human-guided demonstrations. This paper …
require the collection of large numbers of human-guided demonstrations. This paper …
WildLMa: Long Horizon Loco-Manipulation in the Wild
In-the-wild'mobile manipulation aims to deploy robots in diverse real-world environments,
which requires the robot to (1) have skills that generalize across object configurations;(2) be …
which requires the robot to (1) have skills that generalize across object configurations;(2) be …