SPARK: Skeleton-Parameter Aligned Retargeting on Humanoid Robots with Kinodynamic Trajectory Optimization
SPARK: Skeleton-Parameter Aligned Retargeting on Humanoid Robots with Kinodynamic Trajectory Optimization explores A two-stage pipeline for generating natural and dynamically feasible motion references for humanoid robots using human motion data.. Commercial viability score: 7/10 in Humanoid Robotics.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisEmbodied Human Simulation for Quantitative Design and Analysis of Interactive RoboticsViability: 6.0
- Prior WorkMake Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body ControlViability: 7.0
- Prior WorkChasing Autonomy: Dynamic Retargeting and Control Guided RL for Performant and Controllable Humanoid RunningViability: 7.0
- Prior WorkMIRROR: Visual Motion Imitation via Real-time Retargeting and Teleoperation with Parallel Differential Inverse KinematicsViability: 7.0
- Prior WorkHybridMimic: Hybrid RL-Centroidal Control for Humanoid Motion Mimicking