Papers sa Pananaliksik

Mga buod sa payak na Ingles ng pinakabagong pananaliksik sa robotika — mga robot na humanoid, mga robot na may apat na paa, awtomasyong industriyal, at artipisyal na intelihensiya.
499 papers
Physiologically Constrained Neural Network Estimates Wrist Motion from Partial Muscle Signals
RoboticsHun 8

Physiologically Constrained Neural Network Estimates Wrist Motion from Partial Muscle Signals

A physiologically constrained neural network estimates multi-DoF wrist kinematics from partially observed sEMG using an integrated musculoskeletal model.

Wending Heng, Mingming Zhang, Glen Cooper, Zhenhong Li

Quadruped Robots That Push and Pull Objects With Their Feet: A Smarter Training Approach
RoboticsHun 8

Quadruped Robots That Push and Pull Objects With Their Feet: A Smarter Training Approach

We present a hierarchical reinforcement learning framework that enables quadruped robots to manipulate objects using their feet — a capability known as pedip…

Tuba Girgin, Jose Castelblanco, Gabriel Rodriguez +2

Flow-Based Policy Adjustment That Works Without Retraining the Robot
RoboticsHun 7

Flow-Based Policy Adjustment That Works Without Retraining the Robot

Flow-based action adaptation improves imperfect robot policies without retraining, using expert demonstrations for selective OOD-gated correction.

Luzhe Sun, Jingtian Ji, Haoran Chen +2

Speed-Controllable Robot Policies: TempoVLA Lets You Dial Up or Down Execution Speed
AIHun 7

Speed-Controllable Robot Policies: TempoVLA Lets You Dial Up or Down Execution Speed

Dong Jing, Jingchen Nie, Tianqi Zhang +4

HANDOFF Lets Humanoid Robots Use One Controller for Walking, Manipulating, and Recovery
HumanoidHun 7

HANDOFF Lets Humanoid Robots Use One Controller for Walking, Manipulating, and Recovery

Lizhi Yang, Junheng Li, Nehar Poddar +5

D³-MoE: Style-Controllable Autonomous Driving That Lets You Choose Aggressive or Cautious
RoboticsHun 6

D³-MoE: Style-Controllable Autonomous Driving That Lets You Choose Aggressive or Cautious

A new end-to-end autonomous driving system gives operators the ability to dial in a specific driving style—from conservative lane-cuddling to aggressive lane…

Renju Feng, Rukang Wang, Ning Xi +4

WAM-Nav: Unified Visual Navigation With Asymmetric World-Action Modeling
RoboticsHun 6

WAM-Nav: Unified Visual Navigation With Asymmetric World-Action Modeling

Researchers have built a single navigation model called WAM-Nav that works across multiple goal types—point, image, language—on a humanoid robot. By jointly …

Ning Yang, Yan Huang, Kaiwen Peng +9

Self-Guided Flow Policy Boosts Robot Task Success Without Separate Critics
RoboticsHun 6

Self-Guided Flow Policy Boosts Robot Task Success Without Separate Critics

Yunpeng Mei, Jiakai He, Hongjie Cao +12

What Cyclist Eye Gaze Reveals About Safer Road Infrastructure
RoboticsHun 5

What Cyclist Eye Gaze Reveals About Safer Road Infrastructure

Benjamin Hardin, Efimia Panagiotaki, Daniele De Martini +1

CIPER Unifies Cross-View Retrieval and Pose Estimation for Robots
RoboticsHun 5

CIPER Unifies Cross-View Retrieval and Pose Estimation for Robots

Researchers built CIPER, a single transformer network that simultaneously retrieves the correct aerial image from a city-scale database and estimates the pre…

Yurim Jeon, Dongseong Seo, Seung-Woo Seo

World Models That Generalize Across Environments for Quadrotor Navigation
RoboticsHun 5

World Models That Generalize Across Environments for Quadrotor Navigation

World models for quadrotor navigation that generalize across unseen environments, enabling closed-loop and short open-loop flight.

Luca Zanatta, Grzegorz Malczyk, Kostas Alexis

HORIZON: A Recoverability-Driven Curriculum for Scaling Physical Domains in Robot Locomotion
RoboticsHun 4

HORIZON: A Recoverability-Driven Curriculum for Scaling Physical Domains in Robot Locomotion

Chenhao Bai, Liqin Lu, Kaijun Wang +5

X4Val Uses Neural Surrogates to Slash Robot Validation Costs
RoboticsHun 4

X4Val Uses Neural Surrogates to Slash Robot Validation Costs

Rachel Luo, Michael Watson, Apoorva Sharma +6

GRAIL Generates Humanoid Loco-Manipulation from 3D Assets and Video Priors
HumanoidHun 4

GRAIL Generates Humanoid Loco-Manipulation from 3D Assets and Video Priors

GRAIL generates over 20,000 humanoid loco-manipulation sequences from 3D assets and video priors, achieving 84% pick-up and 90% stair-climbing success on a Unitree G1.

Tianyi Xie, Haotian Zhang, Jinhyung Park +17

Latent-Space Predictive World Model for Dynamic VLA Manipulation
RoboticsHun 3

Latent-Space Predictive World Model for Dynamic VLA Manipulation

Vision-Language-Action models struggle with dynamic objects that move during inference. AHEAD introduces a latent-space predictive world model that couples f…

Shahram Najam Syed, Arthur Jakobsson, Haoran Hao +1

Uncertainty-Aware 4D LiDAR Scene Synthesis for Smarter Autonomous Driving
RoboticsHun 3

Uncertainty-Aware 4D LiDAR Scene Synthesis for Smarter Autonomous Driving

Xiang Xu, Alan Liang, Youquan Liu +5

New Agricultural Robot Navigation System Detects and Corrects Instruction Mistakes
RoboticsHun 3

New Agricultural Robot Navigation System Detects and Corrects Instruction Mistakes

Xiaobei Zhao, Xingqi Lyu, Xin Chen +1

A Foundation Model for Understanding Object Affordances from Visual Data
RoboticsHun 2

A Foundation Model for Understanding Object Affordances from Visual Data

A unified affordance foundation model that learns object functionality understanding from visual data using MetaQuery tokens and three-stage training.

Zhaoning Wang, Yi Zhong, Jiawei Fu +2

New Safety Filter for Interactive Robots Uses Trusted Inference to Avoid Overly Cautious Behavior
AIHun 2

New Safety Filter for Interactive Robots Uses Trusted Inference to Avoid Overly Cautious Behavior

Researchers have developed a verification method for belief-space safety filters that reduces unnecessary conservativeness in interactive robots. By focusing…

Haimin Hu

RoboDream: Compositional World Models Boost Robot Data Synthesis Efficiently
RoboticsHun 2

RoboDream: Compositional World Models Boost Robot Data Synthesis Efficiently

Junjie Ye, Rong Xue, Basile Van Hoorick +6