MARVEL: A High Pitch Agile Bi-copter Wall-Climbing Robot. - Amisha Bhaskar; Gaurav Verma; Satvik Sharma (AIR, 2021)

Adaptive Artificial Time Delay Control for Bipedal Walking with Robustification to State-dependent Constraint Forces. - Amisha Bhaskar; Swati Dantu; Spandan Roy; Jinoh Lee; Simone Baldi (ICAR, 2021)

REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. - Souradip Chakraborty; Amisha Bhaskar; Anukriti Singh; Pratap Tokekar; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2023)

AG-Cvg: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. - Nare Karapetyan; Ahmad Bilal Asghar; Amisha Bhaskar; Guangyao Shi; Dinesh Manocha; Pratap Tokekar (ICRA, 2024)

LAVA: Long-horizon Visual Action based Food Acquisition. - Amisha Bhaskar; Rui Liu; Vishnu D. Sharma; Guangyao Shi; Pratap Tokekar (IROS, 2024)

Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types. - Rui Liu; Amisha Bhaskar; Pratap Tokekar (CoRR, 2024)

NAVINACT: Combining Navigation and Imitation Learning for Bootstrapping Reinforcement Learning. - Amisha Bhaskar; Zahiruddin Mahammad; Sachin R. Jadhav; Pratap Tokekar (CoRR, 2024)

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition. - Rui Liu; Zahiruddin Mahammad; Amisha Bhaskar; Pratap Tokekar (CoRR, 2024)

Mitigating Memorization in LLMs using Activation Steering. - Manan Suri; Nishit Anand; Amisha Bhaskar (CoRR, 2025)

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches. - Peihong Yu; Amisha Bhaskar; Anukriti Singh; Zahiruddin Mahammad; Pratap Tokekar (CoRR, 2025)

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences. - Anukriti Singh; Amisha Bhaskar; Peihong Yu; Souradip Chakraborty; Ruthwik Dasyam; Amrit Singh Bedi; Pratap Tokekar (CoRR, 2025)