Tasks:
- * Analyze experiment results
- * Build tactile manipulation benchmarks
- * Compare sensor configurations and training methods
- * Detect slippage
- * Develop force-control methods
- * Estimate contact states
- * Evaluate real robot performance
- * Maintain reproducible training and evaluation records
- * Predict grasp stability
- * Prepare multimodal robotics datasets
- * Run vision-tactile fusion experiments
- * Study tactile representation learning
- * Train robot manipulation policies
Perks/Benefits:
Skills/Tech stack required:
[Ablation Studies] [Computer Vision] [Conda] [Contact State Estimation] [Deep learning] [Docker] [Experimental evaluation] [Force control] [Force Torque] [Force/torque sensing] [Git] [Grasp Stability Prediction] [Imitation Learning] [Linux] [Multimodal Learning] [PyTorch] [Reinforcement Learning] [Robot Control] [Robot Learning] [Slip detection] [Stability Prediction] [State Estimation] [Tactile sensing] [Torque sensing] [Vision-tactile fusion]
Educational requirements:
N/A
Role(s):
[Algorithm Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Robotics Algorithm Engineer] [Robotics Machine Learning Engineer] [Robot Manipulation Engineer]